Oto Gonderici 分析
IOB - Indicator of Behavior (70)
活动
利益
漏洞
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地址 | Hostname | 参与者 | 活动 | Identified | 类型 | 可信度 |
|---|---|---|---|---|---|---|---|
| 1 | 51.15.225.63 | 63-225-15-51.instances.scw.cloud | Oto Gonderici | 2021-05-31 | verified | 高 | |
| 2 | XX.XXX.XXX.XX | xx-xxx-xxx-xx.xxxxxxxxx.xxx.xxxxx | Xxx Xxxxxxxxx | 2021-05-31 | verified | 高 | |
| 3 | XX.XX.XXX.XXX | xxxxx.xx-xx-xx-xxx.xx | Xxx Xxxxxxxxx | 2021-05-31 | verified | 高 | |
| 4 | XX.XX.XXX.XXX | xxxxx.xx-xx-xx-xxx.xx | Xxx Xxxxxxxxx | 2021-05-31 | verified | 高 |
TTP - Tactics, Techniques, Procedures (14)
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 | 漏洞 | 访问向量 | 类型 | 可信度 |
|---|---|---|---|---|---|
| 1 | T1006 | CWE-22 | Path Traversal | predictive | 高 |
| 2 | T1059.007 | CWE-79, CWE-80 | Cross Site Scripting | predictive | 高 |
| 3 | T1068 | CWE-269 | Execution with Unnecessary Privileges | predictive | 高 |
| 4 | TXXXX.XXX | CWE-XXX | Xxxx-xxxxx Xxxxxxxxxxx | predictive | 高 |
| 5 | TXXXX | CWE-XX, CWE-XX | Xxxxxxx Xxxxx Xx Xxxxxxxxxx Xxxxxxxxxx Xxxxxxxxx | predictive | 高 |
| 6 | TXXXX | CWE-XXX, CWE-XXX | Xxxxxxxxxx Xxxxxx | predictive | 高 |
| 7 | TXXXX | CWE-XX | Xxx Xxxxxxxxx | predictive | 高 |
| 8 | TXXXX.XXX | CWE-XXX | Xxxxxxxx Xxxxxxxxxxxxx | predictive | 高 |
| 9 | TXXXX | CWE-XXX | Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 10 | TXXXX | CWE-XXX | Xxxxxxxxx Xxxxxxx Xx Xxxxxxxxx Xxxxxxxxxxx | predictive | 高 |
| 11 | TXXXX.XXX | CWE-XXX | Xxxxxxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | 高 |
| 12 | TXXXX | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | 高 |
| 13 | TXXXX | CWE-XXX | Xxxxxxxxxxxxx Xxxxxx | predictive | 高 |
| 14 | TXXXX | CWE-XXX | Xxxxxxxxxxx Xxxxxx | predictive | 高 |
IOA - Indicator of Attack (25)
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 | 分类 | Indicator | 类型 | 可信度 |
|---|---|---|---|---|
| 1 | File | /cgi-bin/mft/wireless_mft | predictive | 高 |
| 2 | File | /usr/local/nagiosxi/html/includes/configwizards/windowswmi/windowswmi.inc.php | predictive | 高 |
| 3 | File | audiohd.exe | predictive | 中 |
| 4 | File | C:\Windupdt | predictive | 中 |
| 5 | File | x:\x_xxxxxxx | predictive | 中 |
| 6 | File | xxx-xxx/xxxxxxx | predictive | 高 |
| 7 | File | xxxxxxxx.xxx/xxxxxxx_xxxxxx.xxx | predictive | 高 |
| 8 | File | xxxx/xxxxxxxxxxxxxxx.xxx | predictive | 高 |
| 9 | File | xxx/xxxxxxxx/xxxx_xxxxx.x | predictive | 高 |
| 10 | File | xxxxxxx.xxx | predictive | 中 |
| 11 | File | xxxxxx | predictive | 低 |
| 12 | File | xxxxxx.xxx | predictive | 中 |
| 13 | File | xxx.x | predictive | 低 |
| 14 | Library | xxxxxxxxx.xxx | predictive | 高 |
| 15 | Library | xxxxxxxxxx.xxx | predictive | 高 |
| 16 | Argument | xx | predictive | 低 |
| 17 | Argument | xx | predictive | 低 |
| 18 | Argument | xxxxxxx | predictive | 低 |
| 19 | Argument | xxxx_xxxx | predictive | 中 |
| 20 | Argument | xxxxxxxx | predictive | 中 |
| 21 | Argument | xxxxxx | predictive | 低 |
| 22 | Input Value | %xxx%xxxxxxxxx%xxxxxxx(x)>%xx | predictive | 高 |
| 23 | Input Value | .x./ | predictive | 低 |
| 24 | Input Value | ::$xxxxx_xxxxxxxxxx | predictive | 高 |
| 25 | Network Port | xxx xxxxxx xxxx | predictive | 高 |
参考 (2)
The following list contains external sources which discuss the actor and the associated activities: