Hidden Bee Analysis
IOB - Indicator of Behavior (32)
Timeline
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Activities
Interest
Timeline
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Vulnerabilities
These are the vulnerabilities that we have identified as researched, approached, or attacked.
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 address | Hostname | Actor | Campaigns | Identified | Type | Confidence |
|---|---|---|---|---|---|---|---|
| 1 | 67.198.208.110 | graft9.firsttaskintheoffice.com | Hidden Bee | 07/27/2018 | verified | Low | |
| 2 | XXX.XX.XX.XXX | Xxxxxx Xxx | 07/27/2018 | verified | Low | ||
| 3 | XXX.XXX.XXX.XXX | xxxx-xxx-xxx-xxx.xxxx.x.xxxx.xxxxxx.xxxxx.xx | Xxxxxx Xxx | 07/27/2018 | verified | Low | |
| 4 | XXX.XXX.XX.XXX | xxx.xxx.xx.xxx.xxxxxxxxxxxxxxxx.xxx | Xxxxxx Xxx | 07/27/2018 | verified | Very Low |
TTP - Tactics, Techniques, Procedures (9)
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 | Class | Vulnerabilities | Access Vector | Type | Confidence |
|---|---|---|---|---|---|---|
| 1 | T1006 | CAPEC-126 | CWE-22 | Path Traversal | predictive | High |
| 2 | T1055 | CAPEC-10 | CWE-74 | Improper Neutralization of Data within XPath Expressions | predictive | High |
| 3 | TXXXX | CAPEC-XXX | CWE-XX | Xxxxxxxx Xxxxxxxxx | predictive | High |
| 4 | TXXXX.XXX | CAPEC-XXX | CWE-XX, CWE-XX | Xxxxx Xxxxx Xxxx Xxxxxxxxx | predictive | High |
| 5 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxx Xxxx Xxxxxxxxxxx Xxxxxxxxxx | predictive | High |
| 6 | TXXXX | CWE-XXX | 7xx Xxxxxxxx Xxxxxxxx | predictive | High | |
| 7 | TXXXX | CWE-XXX | Xxxxxxxxxxx Xxxxxxxxxx | predictive | High | |
| 8 | TXXXX | CAPEC-XXX | CWE-XXX | Xxxxxxxxxx Xx Xxxxxxx Xxxxx Xxxxxxx Xxxxxxxxx Xxxxxxxxxxx | predictive | High |
| 9 | TXXXX.XXX | CWE-XX | Xxxxxxxxxxxxx | predictive | High |
IOA - Indicator of Attack (7)
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 | Class | Indicator | Type | Confidence |
|---|---|---|---|---|
| 1 | File | inc/config.php | predictive | High |
| 2 | File | libavcodec/cdxl.c | predictive | High |
| 3 | File | xxxxxxxxxxx.xxx | predictive | High |
| 4 | File | xxxxxx\xxxxxx\xxxxxxxxx-xxxxxx-xxxxxxx\xxx\xxxxxxx\xxxxxxx.xxx | predictive | High |
| 5 | File | xx-xxxxx/xxxxx.xxx?xxxx=xx_xxxxxxx/xxxxxxx=xxxxxxx | predictive | High |
| 6 | Argument | xxxxxxxx | predictive | Medium |
| 7 | Argument | xxxxxx_xxxx_xxxx | predictive | High |
References (2)
The following list contains external sources which discuss the actor and the associated activities: