cyber_threat_intelligence/campaigns/Amazon Web Services
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

Amazon Web Services - Cyber Threat Intelligence

These indicators were reported, collected, and generated during the VulDB CTI analysis of the campaign known as Amazon Web Services. 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 Amazon Web Services:

Actors

These actors are associated with Amazon Web Services or other actors linked to the campaign.

ID Actor Confidence
1 TeamTNT 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 Amazon Web Services.

ID IP address Hostname Actor Confidence
1 3.125.10.23 ec2-3-125-10-23.eu-central-1.compute.amazonaws.com TeamTNT Medium
2 15.236.100.141 ec2-15-236-100-141.eu-west-3.compute.amazonaws.com TeamTNT Medium
3 51.195.105.101 p11.2miners.com TeamTNT High
4 ... ... ... ...

There are 2 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 Amazon Web Services. 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

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 Amazon Web Services. This data is unique as it uses our predictive model for actor profiling.

ID Type Indicator Confidence
1 File /usr/bin/pkexec High

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

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