RedEnergy 解析
IOB - Indicator of Behavior (218)
アクティビティ
関心
脆弱性
IOC - Indicator of Compromise (1)
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 | 51.68.11.192 | ftp.cluster003.hosting.ovh.net | RedEnergy | 2023年06月23日 | verified | 高 |
TTP - Tactics, Techniques, Procedures (16)
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 | T1059.007 | CAPEC-209 | CWE-79, CWE-80 | Cross Site Scripting | predictive | 高 |
| 3 | T1068 | CAPEC-122 | CWE-264, CWE-269, CWE-284 | Execution with Unnecessary Privileges | predictive | 高 |
| 4 | T1083 | CAPEC-150 | CWE-552 | File and Directory Information Exposure | predictive | 高 |
| 5 | TXXXX.XXX | CAPEC-191 | CWE-XXX | Xxxx-xxxxx Xxxxxxxxxxx | predictive | 高 |
| 6 | TXXXX.XXX | CAPEC-178 | CWE-XXX | Xxxx Xxxxxxxx | predictive | 高 |
| 7 | TXXXX | CAPEC- | CWE-XXX | Xxxxxxxxxx Xxxxxx | predictive | 高 |
| 8 | TXXXX | CAPEC-108 | CWE-XX | Xxx Xxxxxxxxx | predictive | 高 |
| 9 | TXXXX | CAPEC- | CWE-XXX | Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 10 | TXXXX | CAPEC-38 | CWE-XXX | Xxxxxxxxx Xxxxxx Xxxx | predictive | 高 |
| 11 | TXXXX.XXX | CAPEC- | CWE-XXX | Xxxxxxxx Xxxxxx Xxxx | predictive | 高 |
| 12 | TXXXX.XXX | CAPEC-459 | CWE-XXX | Xxxxxxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 13 | TXXXX | CAPEC-116 | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | 高 |
| 14 | TXXXX.XXX | CAPEC- | CWE-XX | Xxxxxxxxxxxxx | predictive | 高 |
| 15 | TXXXX | CAPEC-20 | CWE-XXX, CWE-XXX | Xxxxxxxxxxxxx Xxxxxx | predictive | 高 |
| 16 | TXXXX.XXX | CAPEC- | CWE-XXX | Xxx Xxxxxxxxxx Xxxxx | predictive | 高 |
IOA - Indicator of Attack (67)
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 | $SPLUNK_HOME/etc/splunk-launch.conf | predictive | 高 |
| 2 | File | /employee.html | predictive | 高 |
| 3 | File | /phppath/php | predictive | 中 |
| 4 | File | /uncpath/ | predictive | 中 |
| 5 | File | add_headers.php | predictive | 高 |
| 6 | File | admin/admin_member.php?action=add&nav=add_web_user&admin_p_nav=user | predictive | 高 |
| 7 | File | admin/mcart_xls_import.php | predictive | 高 |
| 8 | File | bacdcode.c | predictive | 中 |
| 9 | File | xxxxxxxx_xxxx.xxx | predictive | 高 |
| 10 | File | xxx.x | predictive | 低 |
| 11 | File | xxxxxxxx.xxx | predictive | 中 |
| 12 | File | xxxxx/xxxxxxx.xx | predictive | 高 |
| 13 | File | xxxxxxxxxxxxxxxxxxxxxx.xxx | predictive | 高 |
| 14 | File | xxxxxxxx.xxx | predictive | 中 |
| 15 | File | xxxxxxxxxxxxxxx.xxx | predictive | 高 |
| 16 | File | xxxxx.x | predictive | 低 |
| 17 | File | xxxxxxxxxxx.xxx | predictive | 高 |
| 18 | File | xxxxx.xxx | predictive | 中 |
| 19 | File | xxx/xxx/xxx.x | predictive | 高 |
| 20 | File | xxxxxx.x | predictive | 中 |
| 21 | File | xxxx/xxxxxxxxx.xxx | predictive | 高 |
| 22 | File | xxxxxxxx/xxxxx.xxx | predictive | 高 |
| 23 | File | xxxxx.xxx | predictive | 中 |
| 24 | File | xxxxxx_xxxx.xxx | predictive | 高 |
| 25 | File | xxxxxx/xxxxxxxx.xxxx | predictive | 高 |
| 26 | File | xxxx.xxx | predictive | 中 |
| 27 | File | xxxxxxx.xx | predictive | 中 |
| 28 | File | xxx.xxxxxxxx.xxx | predictive | 高 |
| 29 | File | xxxxxxxxxxx-xxxxxx/xxx/xxxxxxxxxx/xxxxxxx.xxx | predictive | 高 |
| 30 | File | xxxxxxxxxxx-xxxxxx/xxx/xxxxxxxxxx/xxxx.xxx | predictive | 高 |
| 31 | File | xxxxxxxxxxx-xxxxxx/xxx/xxxxxxxxxx/xxxxxxxx.xxx | predictive | 高 |
| 32 | File | xxxxxxxxxxx-xxxxxx/xxx/xxxxxxxxxx/xxxxx.xxx | predictive | 高 |
| 33 | Library | xxxxxx.xxx | predictive | 中 |
| 34 | Library | xxxxxx.xxx | predictive | 中 |
| 35 | Library | xxxxxxxxxxxxxx_xx.xxx | predictive | 高 |
| 36 | Library | xxxxxxx.xxx | predictive | 中 |
| 37 | Library | xxxxxx.xxx | predictive | 中 |
| 38 | Library | xxx.xxx | predictive | 低 |
| 39 | Library | xxxxxxxx.xxx | predictive | 中 |
| 40 | Argument | xxxxxxx | predictive | 低 |
| 41 | Argument | xxxxxxxxxxx | predictive | 中 |
| 42 | Argument | xxxxxxxxx | predictive | 中 |
| 43 | Argument | xxxxxxxxx/xxxx | predictive | 高 |
| 44 | Argument | xxxxxx | predictive | 低 |
| 45 | Argument | xxxxxxx | predictive | 低 |
| 46 | Argument | xxxxxxxx | predictive | 中 |
| 47 | Argument | xxxxx_xxxx | predictive | 中 |
| 48 | Argument | xxxx | predictive | 低 |
| 49 | Argument | xxxxxxxx | predictive | 中 |
| 50 | Argument | xxxxx_xx | predictive | 中 |
| 51 | Argument | xxxxxxxxx | predictive | 中 |
| 52 | Argument | xxxx | predictive | 低 |
| 53 | Argument | xxxx | predictive | 低 |
| 54 | Argument | xxxxxxxxx | predictive | 中 |
| 55 | Argument | xxx | predictive | 低 |
| 56 | Argument | xxxx | predictive | 低 |
| 57 | Argument | xxxxxxxxxx | predictive | 中 |
| 58 | Argument | xxxxxxxxxxxx | predictive | 中 |
| 59 | Argument | xxxxx | predictive | 低 |
| 60 | Argument | xxx_xxxxxx_xxxxxxx_xx_xxx | predictive | 高 |
| 61 | Input Value | .. | predictive | 低 |
| 62 | Input Value | <xxxxxxxx>. | predictive | 中 |
| 63 | Input Value | xxxx -x | predictive | 低 |
| 64 | Input Value | xxxxx ?????????????????? ? ?x ? ? ? | predictive | 高 |
| 65 | Pattern | |xx xx| | predictive | 低 |
| 66 | Network Port | xxx/xx (xxxxxx) | predictive | 高 |
| 67 | Network Port | xxx/xxxx | predictive | 中 |
参考 (2)
The following list contains external sources which discuss the actor and the associated activities: