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Python - Cyber Threat Intelligence
These indicators were reported, collected, and generated during the 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, 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.python
Countries
These countries are directly (e.g. origin of attacks) or indirectly (e.g. access by proxy) associated with Python:
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 Python.
| ID | IP address | Hostname | Campaign | Confidence |
|---|---|---|---|---|
| 1 | 23.21.126.66 | ec2-23-21-126-66.compute-1.amazonaws.com | - | Medium |
| 2 | 45.79.77.20 | li1176-20.members.linode.com | - | High |
| 3 | 54.221.253.252 | ec2-54-221-253-252.compute-1.amazonaws.com | - | Medium |
| 4 | 54.225.66.103 | ec2-54-225-66-103.compute-1.amazonaws.com | - | Medium |
| 5 | 54.225.220.115 | ec2-54-225-220-115.compute-1.amazonaws.com | - | Medium |
| 6 | ... | ... | ... | ... |
There are 20 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 by Python. This data is unique as it uses our predictive model for actor profiling.
| ID | Technique | Weakness | Description | Confidence |
|---|---|---|---|---|
| 1 | T1006 | CWE-22 | Pathname Traversal | High |
| 2 | T1040 | CWE-319 | Authentication Bypass by Capture-replay | High |
| 3 | T1059 | CWE-94 | Cross Site Scripting | High |
| 4 | ... | ... | ... | ... |
There are 10 more TTP items available. Please use our online service to access the data.
IOA - Indicator of Attack
These indicators of attack (IOA) list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration by Python. This data is unique as it uses our predictive model for actor profiling.
| ID | Type | Indicator | Confidence |
|---|---|---|---|
| 1 | File | .htaccess |
Medium |
| 2 | File | /api/v1/bait/set |
High |
| 3 | File | /release-x64/otfccdump+0x6b0b2c |
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 actor and the associated activities:
- https://blog.talosintelligence.com/2019/05/threat-roundup-0503-0510.html
- https://blog.talosintelligence.com/2021/02/threat-roundup-0129-0205.html
- https://blog.talosintelligence.com/threat-roundup-1021-1028-2/
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) 1997-2024 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!