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Poisoned Hurricane - Cyber Threat Intelligence
The indicators are related to VulDB CTI analysis of the actor known as Poisoned Hurricane. The activity monitoring correlates data from social media, forums, chat rooms, and darknet markets. It helps to determine associated actors, activities, intentions, emerging research, and attacks. Our unique predictive model is able to forecast activities and their characteristics.
Live data and more analysis capabilities are available at https://vuldb.com/?actor.poisoned_hurricane
Campaigns
The following campaigns are known and can be associated with Poisoned Hurricane:
- Poisoned Hurricane
Countries
These countries are directly (e.g. origin of attacks) or indirectly (e.g. access by proxy) associated with Poisoned Hurricane:
- US
- CN
- KR
IOC - Indicator of Compromise
These indicators of compromise indicate associated network ressources which are known to be part of research and attack activities of Poisoned Hurricane.
| ID | IP address | Hostname | Confidence |
|---|---|---|---|
| 1 | 27.122.13.204 | - | High |
| 2 | 59.125.42.167 | 59-125-42-167.hinet-ip.hinet.net | High |
| 3 | 59.125.42.168 | 59-125-42-168.hinet-ip.hinet.net | High |
| 4 | 61.78.32.139 | - | High |
| 5 | 61.78.32.148 | - | High |
| 6 | 61.78.34.179 | - | High |
| 7 | 61.82.71.10 | - | High |
| 8 | 112.175.143.16 | - | High |
| 9 | 112.175.143.22 | - | High |
| 10 | 119.205.217.104 | - | High |
| 11 | ... | ... | ... |
There are 20 more IOC items available. Please use our online service to access the data.
TTP - Tactics, Techniques, Procedures
Tactics, techniques, and procedures summarize the suspected ATT&CK techniques used by Poisoned Hurricane. This data is unique as it uses our predictive model for actor profiling.
| ID | Technique | Description | Confidence |
|---|---|---|---|
| 1 | T1059.007 | Cross Site Scripting | High |
IOA - Indicator of Attack
These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration by Poisoned Hurricane. This data is unique as it uses our predictive model for actor profiling.
| ID | Type | Indicator | Confidence |
|---|---|---|---|
| 1 | File | /shell?cmd |
Medium |
| 2 | File | item_show.php |
High |
| 3 | File | print.php |
Medium |
| 4 | File | rcube_image.php |
High |
| 5 | Argument | code_no |
Low |
| 6 | Argument | sid |
Low |
References
The following list contains external sources which discuss the actor and the associated activities:
- https://unit42.paloaltonetworks.com/attacks-east-asia-using-google-code-command-control/
- https://www.fireeye.com/blog/threat-research/2014/08/operation-poisoned-hurricane.html
- https://www.threatminer.org/report.php?q=Operation_Poisoned_Hurricane.pdf&y=2014
Literature
The following articles explain our unique predictive cyber threat intelligence:
- VulDB Cyber Threat Intelligence Documentation
- Cyber Threat Intelligence - Early Anticipation of Attacks
License
(c) 1997-2021 by vuldb.com. All data on this page is shared under the license CC BY-NC-SA 4.0. Questions? Check the FAQ, read the documentation or contact us!