cyber_threat_intelligence/actors/Dgbv
Marc Ruef 4e0d577a2c Update 2022-04-23 11:50:32 +02:00
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README.md Update 2022-04-23 11:50:32 +02:00

Dgbv - Cyber Threat Intelligence

These indicators were reported, collected, and generated during the VulDB CTI analysis of the actor known as Dgbv. The activity monitoring correlates data from social media, forums, chat rooms, and darknet markets. It helps to determine associated actors, specific activities, expected intentions, emerging research, and ongoing attacks. Our unique predictive model uses big data to forecast activities and their characteristics.

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

Countries

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

IOC - Indicator of Compromise

These indicators of compromise (IOC) indicate associated network resources which are known to be part of research and attack activities of Dgbv.

ID IP address Hostname Campaign Confidence
1 45.122.138.6 - - High

TTP - Tactics, Techniques, Procedures

Tactics, techniques, and procedures (TTP) summarize the suspected MITRE ATT&CK techniques used by Dgbv. This data is unique as it uses our predictive model for actor profiling.

ID Technique Weakness Description Confidence
1 T1068 CWE-284 Execution with Unnecessary Privileges High
2 T1211 CWE-254 7PK Security Features High

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!