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You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
WARPWIRE
### Target Entity: Javascript
### Text Passage:
WARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Cutting Edge
### Target Entity: WARPWIRE
### Text Passage:
WARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
WARPWIRE
### Target Entity: Ivanti Connect Secure VPNs
### Text Passage:
WARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Javascript
### Target Entity: Ivanti Connect Secure VPNs
### Text Passage:
WARPWIRE is a Javascript credential stealer that targets plaintext passwords and usernames for exfiltration that was used during Cutting Edge to target Ivanti Connect Secure VPNs.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
PLC-Blaster
### Target Entity: Siemens S7 PLCs
### Text Passage:
PLC-Blaster is a piece of proof-of-concept malware that runs on Siemens S7 PLCs. This worm locates other Siemens S7 PLCs on the network and attempts to infect them. Once this worm has infected its target and attempted to infect other devices on the network, the worm can then run one of many modules.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Siemens
### Target Entity: PLC-Blaster
### Text Passage:
PLC-Blaster is a piece of proof-of-concept malware that runs on Siemens S7 PLCs. This worm locates other Siemens S7 PLCs on the network and attempts to infect them. Once this worm has infected its target and attempted to infect other devices on the network, the worm can then run one of many modules.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
HAFNIUM
### Target Entity: Tarrask
### Text Passage:
Tarrask is malware that has been used by HAFNIUM since at least August 2021. Tarrask was designed to evade digital defenses and maintain persistence by generating concealed scheduled tasks.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Tiktok Pro
### Target Entity: TikTok
### Text Passage:
Tiktok Pro is spyware that has been masquerading as the TikTok application.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Lazarus Group
### Target Entity: DRATzarus
### Text Passage:
DRATzarus is a remote access tool (RAT) that has been used by Lazarus Group to target the defense and aerospace organizations globally since at least summer 2020. DRATzarus shares similarities with Bankshot, which was used by Lazarus Group in 2017 to target the Turkish financial sector.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Lazarus Group
### Target Entity: Bankshot
### Text Passage:
DRATzarus is a remote access tool (RAT) that has been used by Lazarus Group to target the defense and aerospace organizations globally since at least summer 2020. DRATzarus shares similarities with Bankshot, which was used by Lazarus Group in 2017 to target the Turkish financial sector.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
DRATzarus
### Target Entity: Bankshot
### Text Passage:
DRATzarus is a remote access tool (RAT) that has been used by Lazarus Group to target the defense and aerospace organizations globally since at least summer 2020. DRATzarus shares similarities with Bankshot, which was used by Lazarus Group in 2017 to target the Turkish financial sector.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bankshot
### Target Entity: Turkish
### Text Passage:
DRATzarus is a remote access tool (RAT) that has been used by Lazarus Group to target the defense and aerospace organizations globally since at least summer 2020. DRATzarus shares similarities with Bankshot, which was used by Lazarus Group in 2017 to target the Turkish financial sector.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Ramsay
### Target Entity: UACMe
### Text Passage:
Ramsay can use UACMe for privilege escalation.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
BOOSTWRITE
### Target Entity: RDFSNIFFER
### Text Passage:
RDFSNIFFER is a module loaded by BOOSTWRITE which allows an attacker to monitor and tamper with legitimate connections made via an application designed to provide visibility and system management capabilities to remote IT techs.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Spalax
### Target Entity: Colombian government
### Text Passage:
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Spalax
### Target Entity: Colombian
### Text Passage:
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT-C-36
### Target Entity: Operation Spalax
### Text Passage:
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT-C-36
### Target Entity: Colombian government
### Text Passage:
Operation Spalax was a campaign that primarily targeted Colombian government organizations and private companies, particularly those associated with the energy and metallurgical industries. The Operation Spalax threat actors distributed commodity malware and tools using generic phishing topics related to COVID-19, banking, and law enforcement action. Security researchers noted indicators of compromise and some infrastructure overlaps with other campaigns dating back to April 2018, including at least one separately attributed to APT-C-36, however identified enough differences to report this as separate, unattributed activity.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
DarkWatchman
### Target Entity: JavaScript
### Text Passage:
DarkWatchman is a lightweight JavaScript-based remote access tool (RAT) that avoids file operations; it was first observed in November 2021.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Android/Chuli.A
### Target Entity: Android
### Text Passage:
Android/Chuli.A is Android malware that was delivered to activist groups via a spearphishing email with an attachment.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT28
### Target Entity: USBStealer
### Text Passage:
USBStealer is malware that has used by APT28 since at least 2005 to extract information from air-gapped networks. It does not have the capability to communicate over the Internet and has been used in conjunction with ADVSTORESHELL.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Pay2Key
### Target Entity: C++
### Text Passage:
Pay2Key is a ransomware written in C++ that has been used by Fox Kitten since at least July 2020 including campaigns against Israeli companies. Pay2Key has been incorporated with a leak site to display stolen sensitive information to further pressure victims into payment.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Fox Kitten
### Target Entity: Pay2Key
### Text Passage:
Pay2Key is a ransomware written in C++ that has been used by Fox Kitten since at least July 2020 including campaigns against Israeli companies. Pay2Key has been incorporated with a leak site to display stolen sensitive information to further pressure victims into payment.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Pay2Key
### Target Entity: Israeli
### Text Passage:
Pay2Key is a ransomware written in C++ that has been used by Fox Kitten since at least July 2020 including campaigns against Israeli companies. Pay2Key has been incorporated with a leak site to display stolen sensitive information to further pressure victims into payment.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
SHARPSTATS
### Target Entity: PowerShell
### Text Passage:
SHARPSTATS has the ability to employ a custom PowerShell script.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
NotCompatible
### Target Entity: Android
### Text Passage:
NotCompatible is an Android malware family that was used between at least 2014 and 2016. It has multiple variants that have become more sophisticated over time.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
CORALDECK
### Target Entity: WinImage
### Text Passage:
CORALDECK has created password-protected RAR, WinImage, and zip archives to be exfiltrated.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Pysa
### Target Entity: Advanced IP Scanner
### Text Passage:
Pysa can perform network reconnaissance using the Advanced IP Scanner tool.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
PittyTiger
### Target Entity: Lurid
### Text Passage:
Lurid is a malware family that has been used by several groups, including PittyTiger, in targeted attacks as far back as 2006.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Patchwork
### Target Entity: BackConfig
### Text Passage:
BackConfig is a custom Trojan with a flexible plugin architecture that has been used by Patchwork.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
FIN10
### Target Entity: PowerShell Empire
### Text Passage:
FIN10 has established persistence by using the Registry option in PowerShell Empire to add a Run key.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Cutting Edge
### Target Entity: PITSTOP
### Text Passage:
PITSTOP is a backdoor that was deployed on compromised Ivanti Connect Secure VPNs during Cutting Edge to enable command execution and file read/write.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
PITSTOP
### Target Entity: Ivanti Connect Secure VPNs
### Text Passage:
PITSTOP is a backdoor that was deployed on compromised Ivanti Connect Secure VPNs during Cutting Edge to enable command execution and file read/write.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
SUNSPOT
### Target Entity: SUNBURST
### Text Passage:
SUNBURST source code used generic variable names and pre-obfuscated strings, and was likely sanitized of developer comments before being added to SUNSPOT.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Korean
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: South Korea
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Vietnam
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Singapore
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Japan
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Indonesia
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Argentina
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Honeybee
### Target Entity: Canada
### Text Passage:
Operation Honeybee was a campaign that targeted humanitarian aid and inter-Korean affairs organizations from at least late 2017 through early 2018. Operation Honeybee initially targeted South Korea, but expanded to include Vietnam, Singapore, Japan, Indonesia, Argentina, and Canada. Security researchers assessed the threat actors were likely Korean speakers based on metadata used in both lure documents and executables, and named the campaign "Honeybee" after the author name discovered in malicious Word documents.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
CORESHELL
### Target Entity: C2
### Text Passage:
CORESHELL C2 messages are Base64-encoded.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
FLASHFLOOD
### Target Entity: zlib
### Text Passage:
FLASHFLOOD employs the same encoding scheme as SPACESHIP for data it stages. Data is compressed with zlib, and bytes are rotated four times before being XOR'ed with 0x23.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
zlib
### Target Entity: SPACESHIP
### Text Passage:
FLASHFLOOD employs the same encoding scheme as SPACESHIP for data it stages. Data is compressed with zlib, and bytes are rotated four times before being XOR'ed with 0x23.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Threat Group-3390
### Target Entity: ASPXTool
### Text Passage:
ASPXSpy is a Web shell. The ASPXTool version used by Threat Group-3390 has been deployed to accessible servers running Internet Information Services (IIS).
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
ASPXTool
### Target Entity: Internet Information Services (IIS)
### Text Passage:
ASPXSpy is a Web shell. The ASPXTool version used by Threat Group-3390 has been deployed to accessible servers running Internet Information Services (IIS).
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Fgdump
### Target Entity: Windows
### Text Passage:
Fgdump can dump Windows password hashes.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Monokle
### Target Entity: Android
### Text Passage:
Monokle is targeted, sophisticated mobile surveillanceware. It is developed for Android, but there are some code artifacts that suggests an iOS version may be in development.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Monokle
### Target Entity: iOS
### Text Passage:
Monokle is targeted, sophisticated mobile surveillanceware. It is developed for Android, but there are some code artifacts that suggests an iOS version may be in development.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Nvidia
### Target Entity: Synaptics
### Text Passage:
ZLib mimics the resource version information of legitimate Realtek Semiconductor, Nvidia, or Synaptics modules.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
QakBot
### Target Entity: esentutl.exe
### Text Passage:
QakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
QakBot
### Target Entity: Internet Explorer
### Text Passage:
QakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
QakBot
### Target Entity: Microsoft Edge
### Text Passage:
QakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Microsoft Edge
### Target Entity: Internet Explorer
### Text Passage:
QakBot can use a variety of commands, including esentutl.exe to steal sensitive data from Internet Explorer and Microsoft Edge, to acquire information that is subsequently exfiltrated.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
CloudDuke
### Target Entity: C2
### Text Passage:
One variant of CloudDuke uses HTTP and HTTPS for C2.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT28
### Target Entity: XAgentOSX
### Text Passage:
XAgentOSX is a trojan that has been used by APT28 on OS X and appears to be a port of their standard CHOPSTICK or XAgent trojan.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
XAgentOSX
### Target Entity: OS X
### Text Passage:
XAgentOSX is a trojan that has been used by APT28 on OS X and appears to be a port of their standard CHOPSTICK or XAgent trojan.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
XAgentOSX
### Target Entity: CHOPSTICK
### Text Passage:
XAgentOSX is a trojan that has been used by APT28 on OS X and appears to be a port of their standard CHOPSTICK or XAgent trojan.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
XAgentOSX
### Target Entity: XAgent
### Text Passage:
XAgentOSX is a trojan that has been used by APT28 on OS X and appears to be a port of their standard CHOPSTICK or XAgent trojan.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
OS X
### Target Entity: APT28
### Text Passage:
XAgentOSX is a trojan that has been used by APT28 on OS X and appears to be a port of their standard CHOPSTICK or XAgent trojan.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Honeybee
### Target Entity: MaoCheng
### Text Passage:
Honeybee uses a dropper called MaoCheng that harvests a stolen digital signature from Adobe Systems.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
MaoCheng
### Target Entity: Adobe Systems
### Text Passage:
Honeybee uses a dropper called MaoCheng that harvests a stolen digital signature from Adobe Systems.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Azorult
### Target Entity: C2
### Text Passage:
Azorult uses an XOR key to decrypt content and uses Base64 to decode the C2 address.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Emotet
### Target Entity: Italian
### Text Passage:
So far in 2021, Proofpoint has observed nearly half a million messages associated with this threat targeting Italian organizations. According to Proofpoint data, Ursnif is currently the most frequently observed malware targeting Italian organizations based on campaign data. Earlier this year, Proofpoint researchers observed multiple Emotet campaigns targeting the region as well – however, following the disruption of the Emotet botnet in January 2021, all Emotet activity has disappeared and this malware is no longer an ongoing threat.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Emotet campaigns
### Target Entity: Italian
### Text Passage:
So far in 2021, Proofpoint has observed nearly half a million messages associated with this threat targeting Italian organizations. According to Proofpoint data, Ursnif is currently the most frequently observed malware targeting Italian organizations based on campaign data. Earlier this year, Proofpoint researchers observed multiple Emotet campaigns targeting the region as well – however, following the disruption of the Emotet botnet in January 2021, all Emotet activity has disappeared and this malware is no longer an ongoing threat.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Italian
### Target Entity: Proofpoint
### Text Passage:
So far in 2021, Proofpoint has observed nearly half a million messages associated with this threat targeting Italian organizations. According to Proofpoint data, Ursnif is currently the most frequently observed malware targeting Italian organizations based on campaign data. Earlier this year, Proofpoint researchers observed multiple Emotet campaigns targeting the region as well – however, following the disruption of the Emotet botnet in January 2021, all Emotet activity has disappeared and this malware is no longer an ongoing threat.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT41
### Target Entity: C0017
### Text Passage:
C0017 was an APT41 campaign conducted between May 2021 and February 2022 that successfully compromised at least six U.S. state government networks through the exploitation of vulnerable Internet facing web applications. During C0017, APT41 was quick to adapt and use publicly-disclosed as well as zero-day vulnerabilities for initial access, and in at least two cases re-compromised victims following remediation efforts. The goals of C0017 are unknown, however APT41 was observed exfiltrating Personal Identifiable Information (PII).
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
C0017
### Target Entity: U.S.
### Text Passage:
C0017 was an APT41 campaign conducted between May 2021 and February 2022 that successfully compromised at least six U.S. state government networks through the exploitation of vulnerable Internet facing web applications. During C0017, APT41 was quick to adapt and use publicly-disclosed as well as zero-day vulnerabilities for initial access, and in at least two cases re-compromised victims following remediation efforts. The goals of C0017 are unknown, however APT41 was observed exfiltrating Personal Identifiable Information (PII).
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
APT41
### Target Entity: U.S.
### Text Passage:
C0017 was an APT41 campaign conducted between May 2021 and February 2022 that successfully compromised at least six U.S. state government networks through the exploitation of vulnerable Internet facing web applications. During C0017, APT41 was quick to adapt and use publicly-disclosed as well as zero-day vulnerabilities for initial access, and in at least two cases re-compromised victims following remediation efforts. The goals of C0017 are unknown, however APT41 was observed exfiltrating Personal Identifiable Information (PII).
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
COATHANGER
### Target Entity: FortiGate
### Text Passage:
COATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: “She took his coat and hung it up”.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
COATHANGER
### Target Entity: Netherlands
### Text Passage:
COATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: “She took his coat and hung it up”.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
COATHANGER
### Target Entity: People's Republic of China
### Text Passage:
COATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: “She took his coat and hung it up”.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
COATHANGER
### Target Entity: CVE-2022-42475
### Text Passage:
COATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: “She took his coat and hung it up”.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
People's Republic of China
### Target Entity: FortiGate
### Text Passage:
COATHANGER is a remote access tool (RAT) targeting FortiGate networking appliances. First used in 2023 in targeted intrusions against military and government entities in the Netherlands along with other victims, COATHANGER was disclosed in early 2024, with a high confidence assessment linking this malware to a state-sponsored entity in the People's Republic of China. COATHANGER is delivered after gaining access to a FortiGate device, with in-the-wild observations linked to exploitation of CVE-2022-42475. The name COATHANGER is based on a unique string in the malware used to encrypt configuration files on disk: “She took his coat and hung it up”.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Sharpshooter
### Target Entity: Rising Sun
### Text Passage:
Rising Sun is a modular backdoor malware used extensively in Operation Sharpshooter. The malware has been observed targeting nuclear, defense, energy, and financial services companies across the world. Rising Sun uses source code from Lazarus Group's Trojan Duuzer.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Rising Sun
### Target Entity: Duuzer
### Text Passage:
Rising Sun is a modular backdoor malware used extensively in Operation Sharpshooter. The malware has been observed targeting nuclear, defense, energy, and financial services companies across the world. Rising Sun uses source code from Lazarus Group's Trojan Duuzer.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Duuzer
### Target Entity: Lazarus Group
### Text Passage:
Rising Sun is a modular backdoor malware used extensively in Operation Sharpshooter. The malware has been observed targeting nuclear, defense, energy, and financial services companies across the world. Rising Sun uses source code from Lazarus Group's Trojan Duuzer.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Machete
### Target Entity: Chrome
### Text Passage:
Machete retrieves the user profile data (e.g., browsers) from Chrome and Firefox browsers.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Machete
### Target Entity: Firefox
### Text Passage:
Machete retrieves the user profile data (e.g., browsers) from Chrome and Firefox browsers.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Chrome
### Target Entity: Firefox
### Text Passage:
Machete retrieves the user profile data (e.g., browsers) from Chrome and Firefox browsers.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
PoetRAT
### Target Entity: C2
### Text Passage:
PoetRAT has the ability to list files upon receiving the ls command from C2.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
spwebmember
### Target Entity: Microsoft SharePoint
### Text Passage:
spwebmember is used to enumerate and dump information from Microsoft SharePoint.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Microsoft SharePoint
### Target Entity: Microsoft
### Text Passage:
spwebmember is used to enumerate and dump information from Microsoft SharePoint.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
WarzoneRAT
### Target Entity: C++
### Text Passage:
WarzoneRAT is a malware-as-a-service remote access tool (RAT) written in C++ that has been publicly available for purchase since at least late 2018.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Raindrop
### Target Entity: Cobalt Strike
### Text Passage:
Raindrop used a custom packer for its Cobalt Strike payload, which was compressed using the LZMA algorithm.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
KasperAgent
### Target Entity: FrozenCell
### Text Passage:
FrozenCell is the mobile component of a family of surveillanceware, with a corresponding desktop component known as KasperAgent and Micropsia.
|
<related>NO</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: Delphi
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: C++
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: US
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: South America
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: Europe
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Bandook
### Target Entity: Southeast Asia
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Dark Caracal
### Target Entity: Bandook
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Manul
### Target Entity: Bandook
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
Operation Manul
### Target Entity: Dark Caracal
### Text Passage:
Bandook is a commercially available RAT, written in Delphi and C++, that has been available since at least 2007. It has been used against government, financial, energy, healthcare, education, IT, and legal organizations in the US, South America, Europe, and Southeast Asia. Bandook has been used by Dark Caracal, as well as in a separate campaign referred to as "Operation Manul".
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
FakeM
### Target Entity: C2
### Text Passage:
FakeM C2 traffic attempts to evade detection by resembling data generated by legitimate messenger applications, such as MSN and Yahoo! messengers. Additionally, some variants of FakeM use modified SSL code for communications back to C2 servers, making SSL decryption ineffective.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
FakeM
### Target Entity: MSN
### Text Passage:
FakeM C2 traffic attempts to evade detection by resembling data generated by legitimate messenger applications, such as MSN and Yahoo! messengers. Additionally, some variants of FakeM use modified SSL code for communications back to C2 servers, making SSL decryption ineffective.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
FakeM
### Target Entity: Yahoo!
### Text Passage:
FakeM C2 traffic attempts to evade detection by resembling data generated by legitimate messenger applications, such as MSN and Yahoo! messengers. Additionally, some variants of FakeM use modified SSL code for communications back to C2 servers, making SSL decryption ineffective.
|
<related>YES</related>
|
You are a helpful threat intelligence analyst. Your task is to identify if the source entity and the target entity in the provided text passage are semantically related. To help you, we provide all the possible relationship labels between the source and target entities. If any label applies to the relationship, answer YES. Otherwise, answer NO.
Answer in the following format: <related>YES or NO</related>
|
### Source Entity:
HAWKBALL
### Target Entity: C2
### Text Passage:
HAWKBALL has sent system information and files over the C2 channel.
|
<related>YES</related>
|
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