Python Analysis
IOB - Indicator of Behavior (46)
Timeline
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Activities
Interest
Timeline
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Vulnerabilities
These are the vulnerabilities that we have identified as researched, approached, or attacked.
IOC - Indicator of Compromise (25)
These indicators of compromise highlight associated network ressources which are known to be part of research and attack activities.
TTP - Tactics, Techniques, Procedures (13)
Tactics, techniques, and procedures summarize the suspected MITRE ATT&CK techniques used. This data is unique as it uses our predictive model for actor profiling.
| ID | Technique | Class | Vulnerabilities | Access Vector | Type | Confidence |
|---|---|---|---|---|---|---|
| 1 | T1006 | CAPEC-126 | CWE-22 | Path Traversal | predictive | High |
| 2 | T1040 | CAPEC-102 | CWE-319 | Authentication Bypass by Capture-replay | predictive | High |
| 3 | T1059 | CAPEC-242 | CWE-94 | Argument Injection | predictive | High |
| 4 | TXXXX.XXX | CAPEC-XXX | CWE-XX, CWE-XX | Xxxxx Xxxxx Xxxx Xxxxxxxxx | predictive | High |
| 5 | TXXXX | CAPEC-XX | CWE-XXX, CWE-XXX | Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | High |
| 6 | TXXXX | CAPEC-XXX | CWE-XX | Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx | predictive | High |
| 7 | TXXXX | CWE-XXX | 7xx Xxxxxxxx Xxxxxxxx | predictive | High | |
| 8 | TXXXX | CWE-XXX | Xxxxxxxxxx Xxxxxx | predictive | High | |
| 9 | TXXXX | CAPEC-XXX | CWE-XX | Xxx Xxxxxxxxx | predictive | High |
| 10 | TXXXX | CAPEC-XX | CWE-XXX, CWE-XXX | Xxxxxxxxx Xxxxxx Xxxx | predictive | High |
| 11 | TXXXX.XXX | CAPEC-XXX | CWE-XXX | Xxxxxxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | High |
| 12 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | High |
| 13 | TXXXX.XXX | CAPEC-X | CWE-XXX | Xxxxxxxxxx Xxxxxxxxxxxxxx Xx Xxxxxxxx Xxxx Xxxxxxxxx | predictive | High |
IOA - Indicator of Attack (15)
These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.
| ID | Class | Indicator | Type | Confidence |
|---|---|---|---|---|
| 1 | File | .htaccess | predictive | Medium |
| 2 | File | /api/v1/bait/set | predictive | High |
| 3 | File | /release-x64/otfccdump+0x6b0b2c | predictive | High |
| 4 | File | /xxxxxxx-xxx/xxxxxxxxx+xxxxxxxx | predictive | High |
| 5 | File | xxxx.xxx | predictive | Medium |
| 6 | File | xxxxx.xxxx | predictive | Medium |
| 7 | File | xxxxxxxxxxxx.xxx | predictive | High |
| 8 | File | xxxxxxx.xx | predictive | Medium |
| 9 | File | xxxxxxxxx/xxxxx/xxxxxxxx/xxxx.xxxx.xxx | predictive | High |
| 10 | Library | xxxxxxxxxxxxxxxx.xxx | predictive | High |
| 11 | Library | xxxxx.xxx | predictive | Medium |
| 12 | Library | xxxxxxx_xxxx_xxx.xxx | predictive | High |
| 13 | Library | xxxxx.xxx | predictive | Medium |
| 14 | Argument | xxxx | predictive | Low |
| 15 | Argument | xxxxxxx | predictive | Low |
References (4)
The following list contains external sources which discuss the actor and the associated activities: