FFDroider 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 (2)
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 | 152.32.228.19 | FFDroider | 07/29/2022 | verified | Medium | ||
| 2 | XXX.X.XXX.XX | xxxx-xxxxx.xxx | Xxxxxxxxx | 07/29/2022 | verified | Medium |
TTP - Tactics, Techniques, Procedures (11)
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 | T1059 | CAPEC-242 | CWE-94 | Argument Injection | predictive | High |
| 3 | T1059.007 | CAPEC-209 | CWE-79 | Basic Cross Site Scripting | predictive | High |
| 4 | TXXXX | CAPEC-XX | CWE-XXX, CWE-XXX | Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | High |
| 5 | TXXXX.XXX | CAPEC-XXX | CWE-XXX | Xxxx-xxxxx Xxxxxxxxxxx | predictive | High |
| 6 | TXXXX | CAPEC-XXX | CWE-XX | Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx | predictive | High |
| 7 | TXXXX.XXX | CAPEC-XXX | CWE-XXX | Xxxx Xxxxxxxx | predictive | High |
| 8 | TXXXX | CWE-XXX | Xxxxxxxxxx Xxxxxx | predictive | High | |
| 9 | TXXXX | CAPEC-XXX | CWE-XX | Xxx Xxxxxxxxx | predictive | High |
| 10 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxxxx Xxxxxxxxxx | predictive | High |
| 11 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | High |
IOA - Indicator of Attack (17)
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 | /var/log/nginx | predictive | High |
| 2 | File | cgi/config_user.cgi | predictive | High |
| 3 | File | cloudinit/config/cc_set_passwords.py | predictive | High |
| 4 | File | xxx_xxxxxx.x | predictive | Medium |
| 5 | File | xxxxx.xxx | predictive | Medium |
| 6 | File | xxxxx/xxxx_xxxxxxx/xxxxxxxxx/xxxx.xxx | predictive | High |
| 7 | File | xxx/xxxxxxxxx/xx_xxxxxx_xxx.x | predictive | High |
| 8 | File | xxxx/xxx/xxx_xxxx.x | predictive | High |
| 9 | Library | xxxxxxxx | predictive | Medium |
| 10 | Argument | $_xxxxxx['xxxxx_xxxxxx'] | predictive | High |
| 11 | Argument | xx | predictive | Low |
| 12 | Argument | xxx | predictive | Low |
| 13 | Argument | xxxxx | predictive | Low |
| 14 | Argument | xxxxxxx | predictive | Low |
| 15 | Argument | xx | predictive | Low |
| 16 | Input Value | -x | predictive | Low |
| 17 | Network Port | xxx/xx (xxx xxxxxxxx) | predictive | High |
References (2)
The following list contains external sources which discuss the actor and the associated activities: