部门 Chemical
Timeframe: -28 days
IOB - Indicator of Behavior (1000)
活动
利益
漏洞
IOC - Indicator of Compromise (27)
These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.
ID | IP range | 参与者 | 类型 | 可信度 |
---|---|---|---|---|
1 | 2.58.95.0/24 | Bashlite | predictive | 高 |
2 | 14.161.30.0/24 | Mirai | predictive | 高 |
3 | 18.159.45.0/24 | FakeMBAM | predictive | 高 |
4 | XX.XXX.XX.X/XX | Xxx Xxxxx | predictive | 高 |
5 | XX.XXX.XXX.X/XX | Xxxxxxxx | predictive | 高 |
6 | XX.XXX.XX.X/XX | Xxxxxx Xxxxxxx | predictive | 高 |
7 | XX.XXX.XXX.X/XX | Xxxxxxx | predictive | 高 |
8 | XX.XX.XXX.X/XX | Xxxxxxxx | predictive | 高 |
9 | XX.XX.XXX.X/XX | Xxxxxxxx | predictive | 高 |
10 | XX.XX.XXX.X/XX | Xxxxxxx Xxxxxx | predictive | 高 |
11 | XXX.XXX.XXX.X/XX | Xxxxxx | predictive | 高 |
12 | XXX.XXX.XXX.X/XX | Xxxxxxxx | predictive | 高 |
13 | XXX.XXX.XXX.X/XX | Xxxxxx Xxxxxx | predictive | 高 |
14 | XXX.XXX.X.X/XX | Xxxxxxx | predictive | 高 |
15 | XXX.XXX.X.X/XX | Xxxxxx Xxxxxx | predictive | 高 |
16 | XXX.XXX.XX.X/XX | Xxxxx | predictive | 高 |
17 | XXX.XXX.XX.X/XX | Xxxxxx | predictive | 高 |
18 | XXX.XX.XXX.X/XX | Xxxxxxxx Xxx | predictive | 高 |
19 | XXX.XX.XX.X/XX | Xxxxx | predictive | 高 |
20 | XXX.XX.XX.X/XX | Xxxxxxx Xxxxxx | predictive | 高 |
21 | XXX.XXX.XXX.X/XX | Xxxxx | predictive | 高 |
22 | XXX.XXX.XXX.X/XX | Xxxxxx | predictive | 高 |
23 | XXX.XXX.XXX.X/XX | Xxxxxxxx | predictive | 高 |
24 | XXX.XX.XX.X/XX | Xxxxxx_xxx | predictive | 高 |
25 | XXX.XX.XXX.X/XX | Xxxxxx Xxxxxx | predictive | 高 |
26 | XXX.X.XX.X/XX | Xxxxxxxxxx | predictive | 高 |
27 | XXX.XXX.XX.X/XX | Xxxxxx | predictive | 高 |
TTP - Tactics, Techniques, Procedures (22)
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.
IOA - Indicator of Attack (99)
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 | /adminPage/conf/reload | predictive | 高 |
2 | File | /adminPage/conf/saveCmd | predictive | 高 |
3 | File | /adminPage/main/upload | predictive | 高 |
4 | File | /adminPage/www/addOver | predictive | 高 |
5 | File | /CMD0/xml_modes.xml | predictive | 高 |
6 | File | /Device/Device/GetDeviceInfoList?deviceCode=&searchField=&deviceState= | predictive | 高 |
7 | File | /drivers/tty/serial/serial_core.c | predictive | 高 |
8 | File | /proc/scsi/${proc_name} | predictive | 高 |
9 | File | /Public/webuploader/0.1.5/server/fileupload.php | predictive | 高 |
10 | File | /Public/webuploader/0.1.5/server/fileupload2.php | predictive | 高 |
11 | File | /sys/bus/i2c/devices/i2c-2/new_device | predictive | 高 |
12 | File | /sys/kernel/notes | predictive | 高 |
13 | File | /webeditor/ | predictive | 中 |
14 | File | xxxxx-xxxxxx-xxxx.xxx | predictive | 高 |
15 | File | xxxxxxxxxxxxxxxxx.xxxxxxxxxxxx.xxx | predictive | 高 |
16 | File | x:\xxxxxxxx | predictive | 中 |
17 | File | xxxx_xxxxxxx.xx | predictive | 高 |
18 | File | xxxxxx/xxxxxx_xxxxxx.x | predictive | 高 |
19 | File | xx_xxx.x | predictive | 中 |
20 | File | xxxxxxx/xxxxxx/xxxxxxx/xxxxxx_xxxx.x | predictive | 高 |
21 | File | xxxxxxx/xxx/xxxx/xxx.x | predictive | 高 |
22 | File | xxxxxxx/xxxx/xxxx_xxxx.x | predictive | 高 |
23 | File | xxxxxxx/xxxxx/xxx-xxxxxxxxx/xxxxxxx.x | predictive | 高 |
24 | File | xxxxxxx/xxx/xxxxxxxx/xxx/xx.x | predictive | 高 |
25 | File | xxxxxxx/xxx/xxxxxxxx/xxxxxxxxx/xxxxxxxx/xxx.x | predictive | 高 |
26 | File | xxxxxxx/xxxx/xxx/xxxxxx.x | predictive | 高 |
27 | File | xxxxxxx/xxx/xxxxxx/xxxx/xxxx_xxxx.x | predictive | 高 |
28 | File | xxxxxxx/xxx/xxxx/xxxxx.x | predictive | 高 |
29 | File | xxxxxxx/xxx/xxxx/xxx.x | predictive | 高 |
30 | File | xxxxxxxxx.xxx | predictive | 高 |
31 | File | xx/xxxxxx.x | predictive | 中 |
32 | File | xx/xxxx/xxxxxxx.x | predictive | 高 |
33 | File | xx/xxxxx/xxxx.x | predictive | 高 |
34 | File | xx/xxxxxx/xxx.x | predictive | 高 |
35 | File | xxxxxxx.xx | predictive | 中 |
36 | File | xxxxx | predictive | 低 |
37 | File | xxxxx_xxxxxx | predictive | 中 |
38 | File | xx/xxx/xxx_xx_xxx.x | predictive | 高 |
39 | File | xxxxxxx/xxxxx/xxxxxxxxxxxx.x | predictive | 高 |
40 | File | xxxxxxx/xxxxx/xxxx.x | predictive | 高 |
41 | File | xxxxxxx/xxxxx/xxxxxx.x | predictive | 高 |
42 | File | xxxx/xxxx.x | predictive | 中 |
43 | File | xxxxxx/xxx/xxxxxx.x | predictive | 高 |
44 | File | xxxxxx/xxxx_xxxxx.x | predictive | 高 |
45 | File | xxxxxxxxxxxxx.xxx | predictive | 高 |
46 | File | xx/xxxx.x | predictive | 中 |
47 | File | xx/xxxxxxxx.x | predictive | 高 |
48 | File | xxxxxxx/xxxxx/xxxxxx/xxxxxx.xxx | predictive | 高 |
49 | File | xxx/xxxxxx/xx_xxxxxxxxx_xxxxx.x | predictive | 高 |
50 | File | xxx/xxxx/xxx.x | predictive | 高 |
51 | File | xxx/xxxx/xxxx.x | predictive | 高 |
52 | File | xxx/xxxxxxxxx/xx_xxxxxx_xxx.x | predictive | 高 |
53 | File | xxxx.x | predictive | 低 |
54 | File | xxxx.xxx | predictive | 中 |
55 | File | xxx/xxxxxx.x | predictive | 中 |
56 | File | xxx.x | predictive | 低 |
57 | File | xxxxx_xxxx.x | predictive | 中 |
58 | File | xxxx-xxxxxxx.xxx | predictive | 高 |
59 | File | xxxx_xxxxxx.xx | predictive | 高 |
60 | File | xxxxxx-xxxxx.xxx | predictive | 高 |
61 | File | xxxxxx_xxxxxxxx.xxx | predictive | 高 |
62 | File | xxxx.xxx | predictive | 中 |
63 | Library | xxxxx-xx.xx | predictive | 中 |
64 | Library | xxxx.xxx | predictive | 中 |
65 | Library | xxxxxxx/xxx/xxxx_xxx.x | predictive | 高 |
66 | Library | xxx/xxxxxxxxxxxx.x | predictive | 高 |
67 | Library | xxx/xxxx_xxxxx.x | predictive | 高 |
68 | Library | xxx/xxxx_xxxxx.x | predictive | 高 |
69 | Library | xxx/xxxxxx.x | predictive | 中 |
70 | Library | xxx/xxxxxxxx.x | predictive | 高 |
71 | Library | xxx/xxx_xxxxxxx.x | predictive | 高 |
72 | Library | xxx/xxxxxxxxxxx.x | predictive | 高 |
73 | Library | xxx/xxxxxxxx.x | predictive | 高 |
74 | Library | xxxxxxxx.xxx | predictive | 中 |
75 | Library | xxxx-xxxxxx.xxx | predictive | 高 |
76 | Argument | xxxxxx | predictive | 低 |
77 | Argument | xxxx | predictive | 低 |
78 | Argument | xxxxxxxxxxxxxxxx | predictive | 高 |
79 | Argument | xxx | predictive | 低 |
80 | Argument | xxx | predictive | 低 |
81 | Argument | xxxxxxx | predictive | 低 |
82 | Argument | xxxxxxx_xxxx | predictive | 中 |
83 | Argument | xxxx | predictive | 低 |
84 | Argument | xxx_xxxx/xx_xxx_xxxx | predictive | 高 |
85 | Argument | xxxxxxx | predictive | 低 |
86 | Argument | xx/xxx/xxxxx | predictive | 中 |
87 | Argument | xxxxx | predictive | 低 |
88 | Argument | xxx_xxxxxxx | predictive | 中 |
89 | Argument | xxxxxxxx | predictive | 中 |
90 | Argument | xxxxxxxxx | predictive | 中 |
91 | Argument | xxxxxxx_xxxxx_xxxxxx | predictive | 高 |
92 | Argument | xxxxxxx | predictive | 低 |
93 | Argument | xxxxx | predictive | 低 |
94 | Argument | xxxx | predictive | 低 |
95 | Argument | xxxx_xx | predictive | 低 |
96 | Argument | xxxxxxxx | predictive | 中 |
97 | Argument | xx_xxxxx | predictive | 中 |
98 | Argument | xxx_xx_xxx_xxxx | predictive | 高 |
99 | Input Value | xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx | predictive | 高 |