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Python - Cyber Threat Intelligence
The indicators are related to VulDB CTI analysis of the actor known as Python. 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.python
Countries
These countries are directly (e.g. origin of attacks) or indirectly (e.g. access by proxy) associated with Python:
- US
IOC - Indicator of Compromise
These indicators of compromise indicate associated network ressources which are known to be part of research and attack activities of Python.
| ID | IP address | Hostname | Confidence |
|---|---|---|---|
| 1 | 23.21.126.66 | ec2-23-21-126-66.compute-1.amazonaws.com | Medium |
| 2 | 54.221.253.252 | ec2-54-221-253-252.compute-1.amazonaws.com | Medium |
| 3 | 54.225.66.103 | ec2-54-225-66-103.compute-1.amazonaws.com | Medium |
| 4 | ... | ... | ... |
There are 14 more IOC items available. Please use our online service to access the data.
TTP - Tactics, Techniques, Procedures
Tactics, techniques, and procedures summarize the suspected ATT&CK techniques used by Python. This data is unique as it uses our predictive model for actor profiling.
| ID | Technique | Description | Confidence |
|---|---|---|---|
| 1 | T1552 | Unprotected Storage of Credentials | 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:
- VulDB Cyber Threat Intelligence Documentation
- Cyber Threat Intelligence - Early Anticipation of Attacks
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!