MedusaLocker - Cyber Threat Intelligence

These indicators were reported, collected, and generated during the VulDB CTI analysis of the actor known as MedusaLocker. The activity monitoring correlates data from social media, forums, chat rooms, and darknet markets. It helps to determine associated actors, specific activities, expected intentions, emerging research, and ongoing attacks. Our unique predictive model uses big data to forecast activities and their characteristics.

Live data and more analysis capabilities are available at https://vuldb.com/?actor.medusalocker

Countries

These countries are directly (e.g. origin of attacks) or indirectly (e.g. access by proxy) associated with MedusaLocker:

IOC - Indicator of Compromise

These indicators of compromise (IOC) indicate associated network resources which are known to be part of research and attack activities of MedusaLocker.

ID	IP address	Hostname	Campaign	Confidence
1	40.92.90.105	mail-vi1eur05olkn2105.outbound.protection.outlook.com	-	High
2	45.146.164.141	-	-	High
3	50.80.219.149	50-80-219-149.client.mchsi.com	-	High
4	84.38.189.52	wmw10.empresagozalez.miami	-	High
5	87.251.75.71	-	-	High
6	...	...	...	...

There are 19 more IOC items available. Please use our online service to access the data.

TTP - Tactics, Techniques, Procedures

Tactics, techniques, and procedures (TTP) summarize the suspected MITRE ATT&CK techniques used by MedusaLocker. This data is unique as it uses our predictive model for actor profiling.

ID	Technique	Weakness	Description	Confidence
1	T1006	CWE-21, CWE-22, CWE-29, CWE-35	Pathname Traversal	High
2	T1040	CWE-319	Authentication Bypass by Capture-replay	High
3	T1055	CWE-74	Injection	High
4	T1059	CWE-94, CWE-1321	Cross Site Scripting	High
5	T1059.007	CWE-79, CWE-80	Cross Site Scripting	High
6	...	...	...	...

There are 19 more TTP items available. Please use our online service to access the data.

IOA - Indicator of Attack

These indicators of attack (IOA) list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration by MedusaLocker. This data is unique as it uses our predictive model for actor profiling.

ID	Type	Indicator	Confidence
1	File	`/admin/ajax.php?action=delete_transaction`	High
2	File	`/admin/ajax.php?action=delete_user`	High
3	File	`/admin/ajax.php?action=delete_window`	High
4	File	`/admin/ajax.php?action=save_queue`	High
5	File	`/admin/ajax.php?action=save_window`	High
6	File	`/admin/article_category.php`	High
7	File	`/admin/manage_user.php`	High
8	File	`/app/dao/CustomerDAO.php`	High
9	File	`/apply.cgi`	Medium
10	File	`/apps/app_user/sys_user.php`	High
11	File	`/classes/Master.php?f=delete_brand`	High
12	File	`/classes/Master.php?f=delete_category`	High
13	File	`/config/api/v1/reboot`	High
14	File	`/forum/away.php`	High
15	File	`/hss/admin/?page=client/manage_client`	High
16	File	`/hss/classes/Users.php?f=delete`	High
17	File	`/login/index.php`	High
18	File	`/opt/Citrix/ICAClient/util/ctxwebhelper`	High
19	File	`/setNTP.cgi`	Medium
20	File	`/system/site.php`	High
21	File	`/tiki-importer.php`	High
22	File	`/tmp`	Low
23	File	`/tpts/manage_user.php`	High
24	File	`/trufusionPortal/upDwModuleProxy`	High
25	...	...	...

There are 212 more IOA items available (file, library, argument, input value, pattern, network port). Please use our online service to access the data.

References

The following list contains external sources which discuss the actor and the associated activities:

https://www.cisa.gov/uscert/ncas/alerts/aa22-181a

Literature

The following articles explain our unique predictive cyber threat intelligence:

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