CDRThief Analysis
IOB - Indicator of Behavior (15)
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 (6)
These indicators of compromise highlight associated network ressources which are known to be part of research and attack activities.
| ID | IP address | Hostname | Actor | Campaigns | Identified | Type | Confidence |
|---|---|---|---|---|---|---|---|
| 1 | 34.94.199.142 | 142.199.94.34.bc.googleusercontent.com | CDRThief | 05/31/2021 | verified | Low | |
| 2 | 35.236.173.187 | 187.173.236.35.bc.googleusercontent.com | CDRThief | 05/31/2021 | verified | Low | |
| 3 | XXX.XX.XXX.XX | Xxxxxxxx | 05/31/2021 | verified | Low | ||
| 4 | XXX.XXX.XXX.XXX | Xxxxxxxx | 05/31/2021 | verified | Low | ||
| 5 | XXX.XXX.XXX.XXX | Xxxxxxxx | 05/31/2021 | verified | Low | ||
| 6 | XXX.XXX.XX.XXX | Xxxxxxxx | 05/31/2021 | verified | Low |
TTP - Tactics, Techniques, Procedures (7)
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-21, CWE-22 | Path Traversal | predictive | High |
| 2 | T1059.007 | CAPEC-18 | CWE-80 | Basic Cross Site Scripting | predictive | High |
| 3 | TXXXX.XXX | CAPEC-XXX | CWE-XXX | Xxxx-xxxxx Xxxxxxxxxxx | predictive | High |
| 4 | TXXXX | CAPEC-XXX | CWE-XX | Xxx Xxxxxxxxx | predictive | High |
| 5 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | High |
| 6 | TXXXX.XXX | CWE-XXX | Xxx Xxxxxxxxxx Xxxxx | predictive | High | |
| 7 | TXXXX.XXX | CAPEC-X | CWE-XXX | Xxxxxxxxxx Xxxxxxxxxxxxxx Xx Xxxxxxxx Xxxx Xxxxxxxxx | predictive | High |
IOA - Indicator of Attack (11)
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 | /goform/wlanPrimaryNetwork | predictive | High |
| 2 | File | /WEB-INF/web.xml | predictive | High |
| 3 | File | xxxxx/xx.xxx | predictive | Medium |
| 4 | File | xxxxxxx/xxxxxxx/xxxxxxxxxxxxxxxxx.xxx | predictive | High |
| 5 | File | xxxx-xxxxx.xxx | predictive | High |
| 6 | File | xxx/xxx/xxxxxx.xx | predictive | High |
| 7 | File | xxxxxxxx/xxxx_xxxx | predictive | High |
| 8 | Argument | xxx_xxx | predictive | Low |
| 9 | Argument | xxx | predictive | Low |
| 10 | Argument | xxxxxxxxxxxxxxxxxxxx | predictive | High |
| 11 | Input Value | ><xxxxxx>xxxxx(x)</xxxxxx> | predictive | High |
References (2)
The following list contains external sources which discuss the actor and the associated activities: