cyber_threat_intelligence/actors/Gorgon Group
2022-03-04 09:16:11 +01:00
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README.md Update 2022-03-04 09:16:11 +01:00

Gorgon Group - Cyber Threat Intelligence

The indicators are related to VulDB CTI analysis of the actor known as Gorgon Group. The activity monitoring correlates data from social media, forums, chat rooms, and darknet markets. It helps to determine associated actors, activities, intentions, emerging research, and attacks. Our unique predictive model is able to forecast activities and their characteristics.

Live data and more analysis capabilities are available at https://vuldb.com/?actor.gorgon_group

Countries

These countries are directly (e.g. origin of attacks) or indirectly (e.g. access by proxy) associated with Gorgon Group:

  • PK

IOC - Indicator of Compromise

These indicators of compromise indicate associated network ressources which are known to be part of research and attack activities of Gorgon Group.

ID IP address Hostname Confidence
1 115.186.136.237 115-186-136-237.nayatel.pk High

TTP - Tactics, Techniques, Procedures

Tactics, techniques, and procedures summarize the suspected ATT&CK techniques used by Gorgon Group. This data is unique as it uses our predictive model for actor profiling.

ID Technique Description Confidence
1 T1059.007 Cross Site Scripting High
2 T1068 Execution with Unnecessary Privileges High
3 T1600 Cryptographic Issues High

IOA - Indicator of Attack

These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration by Gorgon Group. This data is unique as it uses our predictive model for actor profiling.

ID Type Indicator Confidence
1 File /uncpath/ Medium
2 File app/controllers/frontend/PostController.php High
3 File www/soap/application/MCSoap/Logs.php High
4 ... ... ...

There are 4 more IOA items available. Please use our online service to access the data.

References

The following list contains external sources which discuss the actor and the associated activities:

Literature

The following articles explain our unique predictive cyber threat intelligence:

License

(c) 1997-2022 by vuldb.com. All data on this page is shared under the license CC BY-NC-SA 4.0. Questions? Check the FAQ, read the documentation or contact us!