cyber_threat_intelligence/campaigns/SneakyPastes
Marc Ruef ef16ee7c43 Update 2022-03-18 10:38:46 +01:00
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README.md Update 2022-03-18 10:38:46 +01:00

SneakyPastes - Cyber Threat Intelligence

These indicators were reported, collected, and generated during the VulDB CTI analysis of the campaign known as SneakyPastes. 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

Countries

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

There are 3 more country items available. Please use our online service to access the data.

Actors

These actors are associated with SneakyPastes or other actors linked to the campaign.

ID Actor Confidence
1 Molerats High

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 SneakyPastes.

ID IP address Hostname Actor Confidence
1 45.63.97.44 45.63.97.44.vultr.com Molerats Medium
2 104.200.67.190 us.borgs.cloud Molerats High
3 185.117.72.190 - Molerats High
4 ... ... ... ...

There are 1 more IOC items available. Please use our online service to access the data.

TTP - Tactics, Techniques, Procedures

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

ID Technique Weakness Description Confidence
1 T1068 CWE-264 Execution with Unnecessary Privileges High
2 T1211 CWE-358 7PK Security Features High
3 T1600 CWE-310 Cryptographic Issues High

IOA - Indicator of Attack

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

ID Type Indicator Confidence
1 File api_poller.php High
2 File diy/module/member/controllers/Api.php High
3 File Forms/tools_admin_1 High
4 ... ... ...

There are 12 more IOA items available (file, library, argument, input value, pattern, network port). Please use our online service to access the data.

References

The following list contains external sources which discuss the campaign 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!