FireBird RAT 解析
IOB - Indicator of Behavior (72)
アクティビティ
関心
脆弱性
IOC - Indicator of Compromise (7)
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 | 5.206.227.37 | server.bataboom.bet | FireBird RAT | 2022年03月16日 | verified | 高 | |
| 2 | 34.211.234.228 | ec2-34-211-234-228.us-west-2.compute.amazonaws.com | FireBird RAT | 2021年11月30日 | verified | 中 | |
| 3 | XX.XXX.XX.XXX | Xxxxxxxx Xxx | 2022年01月22日 | verified | 高 | ||
| 4 | XX.XXX.XXX.XX | xx-xxx-xxx-xx.xxx.xxxxxxxxxxx.xx | Xxxxxxxx Xxx | 2022年11月15日 | verified | 高 | |
| 5 | XX.XXX.XXX.XX | xxxx.xx-xx-xxx-xxx.xx | Xxxxxxxx Xxx | 2022年08月15日 | verified | 高 | |
| 6 | XXX.XX.XX.XXX | xxxxxxxx.xx-xxx-xx-xx.xxx | Xxxxxxxx Xxx | 2022年08月28日 | verified | 高 | |
| 7 | XXX.XX.XXX.XX | xxxx.xx-xxx-xx-xxx.xxx | Xxxxxxxx Xxx | 2022年04月21日 | verified | 高 |
TTP - Tactics, Techniques, Procedures (8)
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 | CWE-35 | Path Traversal | predictive | 高 | |
| 2 | T1059.007 | CAPEC-209 | CWE-79, CWE-80 | Cross Site Scripting | predictive | 高 |
| 3 | TXXXX | CAPEC-122 | CWE-XXX, CWE-XXX, CWE-XXX | Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 4 | TXXXX | CAPEC-136 | CWE-XX | Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx | predictive | 高 |
| 5 | TXXXX.XXX | CAPEC-178 | CWE-XXX | Xxxx Xxxxxxxx | predictive | 高 |
| 6 | TXXXX | CAPEC- | CWE-XXX | 7xx Xxxxxxxx Xxxxxxxx | predictive | 高 |
| 7 | TXXXX | CAPEC-108 | CWE-XX | Xxx Xxxxxxxxx | predictive | 高 |
| 8 | TXXXX | CAPEC-116 | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | 高 |
IOA - Indicator of Attack (30)
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 | /dev/block/mmcblk0rpmb | predictive | 高 |
| 2 | File | add_comment.php | predictive | 高 |
| 3 | File | advertise.php | predictive | 高 |
| 4 | File | category.cfm | predictive | 中 |
| 5 | File | data/gbconfiguration.dat | predictive | 高 |
| 6 | File | xxxxxx.xxx | predictive | 中 |
| 7 | File | xxxxxxx/xxxx-xxxxx-xxxxxx.xxx | predictive | 高 |
| 8 | File | xxxxxxx/xxxx-xxxxx-xxxxxx.xxx?xxxxxx=x | predictive | 高 |
| 9 | File | xxxxx.xx | predictive | 中 |
| 10 | File | xxxx.xxx | predictive | 中 |
| 11 | File | xxxxx.xxx | predictive | 中 |
| 12 | File | xxxx/xxxxxxxxx.xxx | predictive | 高 |
| 13 | File | xxxxxxxx.xxx | predictive | 中 |
| 14 | File | xxxxxxx:xxxxxxxxxxxxxxxxxxx | predictive | 高 |
| 15 | File | xx-xxxxxxxx/xxxxxxxxx.xxx | predictive | 高 |
| 16 | Library | xxxxxxx/xxxx/xxx-xxx/xxx/xxxxxxx-xxxxxxxxxxx-*.xxx | predictive | 高 |
| 17 | Argument | $xxxx | predictive | 低 |
| 18 | Argument | $_xxxxx | predictive | 低 |
| 19 | Argument | xxx | predictive | 低 |
| 20 | Argument | xxx_xx | predictive | 低 |
| 21 | Argument | xxxxxx | predictive | 低 |
| 22 | Argument | xxxxxxxxxxxx | predictive | 中 |
| 23 | Argument | xxxx_xxxxxxxx | predictive | 高 |
| 24 | Argument | xx | predictive | 低 |
| 25 | Argument | xx | predictive | 低 |
| 26 | Argument | xxxxxxxxx-xxxxxxx/xxxxxxxxx/xxxxxxxxxx | predictive | 高 |
| 27 | Argument | xxxx_xx | predictive | 低 |
| 28 | Argument | xxxxxxx | predictive | 低 |
| 29 | Argument | xxx | predictive | 低 |
| 30 | Argument | xxxx->xxxxxxx | predictive | 高 |
参考 (2)
The following list contains external sources which discuss the actor and the associated activities: