DarkVision RAT 解析
IOB - Indicator of Behavior (50)
アクティビティ
関心
脆弱性
IOC - Indicator of Compromise (4)
These indicators of compromise highlight associated network ressources which are known to be part of research and attack activities.
| ID | IPアドレス | Hostname | アクター | キャンペーン | Identified | タイプ | 信頼度 |
|---|---|---|---|---|---|---|---|
| 1 | 45.153.240.147 | DarkVision RAT | 2024年04月08日 | verified | 高 | ||
| 2 | XX.XXX.XX.XXX | xxx-xxx-xx-xxx.xxxxxxxx.xxxxx.xx | Xxxxxxxxxx Xxx | 2024年04月08日 | verified | 高 | |
| 3 | XXX.XXX.XX.XX | Xxxxxxxxxx Xxx | 2024年04月08日 | verified | 高 | ||
| 4 | XXX.XXX.XXX.XXX | xxxx-xxx-xxx-xxx.xxxxxxxx.xxxxx.xx | Xxxxxxxxxx Xxx | 2024年04月08日 | verified | 高 |
TTP - Tactics, Techniques, Procedures (10)
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 | クラス | 脆弱性 | アクセスベクター | タイプ | 信頼度 |
|---|---|---|---|---|---|---|
| 1 | T1006 | CAPEC-126 | CWE-22 | Path Traversal | predictive | 高 |
| 2 | T1059 | CAPEC-242 | CWE-94 | Argument Injection | predictive | 高 |
| 3 | TXXXX.XXX | CAPEC-209 | CWE-XX | Xxxxx Xxxx Xxxxxxxxx | predictive | 高 |
| 4 | TXXXX | CAPEC-122 | CWE-XXX, CWE-XXX | Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 5 | TXXXX.XXX | CAPEC-191 | CWE-XXX | Xxxx-xxxxx Xxxxxxxxxxx | predictive | 高 |
| 6 | TXXXX | CAPEC-108 | CWE-XX | Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx | predictive | 高 |
| 7 | TXXXX | CAPEC-108 | CWE-XX | Xxx Xxxxxxxxx | predictive | 高 |
| 8 | TXXXX | CAPEC- | CWE-XXX | Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 9 | TXXXX | CAPEC-116 | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | 高 |
| 10 | TXXXX.XXX | CAPEC-1 | CWE-XXX | Xxxxxxxxxx Xxxxxxxxxxxxxx Xx Xxxxxxxx Xxxx Xxxxxxxxx | predictive | 高 |
IOA - Indicator of Attack (27)
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 | クラス | Indicator | タイプ | 信頼度 |
|---|---|---|---|---|
| 1 | File | /category_view.php | predictive | 高 |
| 2 | File | /cgi-bin/wapopen | predictive | 高 |
| 3 | File | /goform/WifiBasicSet | predictive | 高 |
| 4 | File | /login/index.php | predictive | 高 |
| 5 | File | /xxx/xxxxxx/xxxxx/xxxxxxx/xxxxxx/xxxxxx | predictive | 高 |
| 6 | File | /xxxxxxxxxx/xxxx/xxxxxxxxxxxxxxxx.xxxx | predictive | 高 |
| 7 | File | /xxx | predictive | 低 |
| 8 | File | xxxxxx.xxx | predictive | 中 |
| 9 | File | xxxx/xxx/xxxxx/xxx/xxxx/xxxxxxxxx.xxxx | predictive | 高 |
| 10 | File | xxx_xxxxx.xxx | predictive | 高 |
| 11 | File | xxxxx-xxxxx.x | predictive | 高 |
| 12 | File | xxxx.xxx | predictive | 中 |
| 13 | File | xxxxx/xxx/xxxx.xxx.xxx | predictive | 高 |
| 14 | File | xxx/xxx/xxxxxxx.x | predictive | 高 |
| 15 | File | xxx/xxxxx.xxxx | predictive | 高 |
| 16 | File | xxxxxxxxxxxxxxx.xxx | predictive | 高 |
| 17 | Library | xxxxxx.xx | predictive | 中 |
| 18 | Argument | xxx | predictive | 低 |
| 19 | Argument | xxxx/xxxxxxxxxx | predictive | 高 |
| 20 | Argument | xxxxxxxxxx | predictive | 中 |
| 21 | Argument | xxxx_xxxxxx | predictive | 中 |
| 22 | Argument | xx_xxxxx/xxxxxxxxxx | predictive | 高 |
| 23 | Argument | xxxx_xx | predictive | 低 |
| 24 | Argument | xxxxxx_xxx | predictive | 中 |
| 25 | Argument | xxx_xxxxxxx | predictive | 中 |
| 26 | Argument | xxxxxx | predictive | 低 |
| 27 | Input Value | ../.. | predictive | 低 |
参考 (2)
The following list contains external sources which discuss the actor and the associated activities: