CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
4.0 | $0-$5k | 0.00 |
Overview
A vulnerability has been found in isoftforce Dreamer CMS up to 4.0.1 and classified as problematic. This vulnerability affects unknown code. The manipulation leads to cross site scripting. Using CWE to declare the problem leads to CWE-79. The weakness was shared 01/26/2023 as I68UYM. The advisory is available at gitee.com. This vulnerability was named CVE-2023-0513. The attack can be initiated remotely. There are no technical details available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The structure of the vulnerability defines a possible price range of USD $0-$5k at the moment. This vulnerability is assigned to T1059.007 by the MITRE ATT&CK project. It is declared as proof-of-concept. It is possible to download the exploit at gitee.com. As 0-day the estimated underground price was around $0-$5k. Upgrading to version 4.1.3 is able to address this issue. The updated version is ready for download at gitee.com. It is recommended to upgrade the affected component. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]
IOB - Indicator of Behavior (830)
Timeline
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Activities
IOC - Indicator of Compromise (7)
These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.
ID | IP range | Actor | Type | Confidence |
---|---|---|---|---|
1 | 54.213.123.0/24 | Dealply | predictive | High |
2 | XX.XX.XXX.X/XX | Xxxxxxxx | predictive | High |
3 | XXX.XXX.X.X/XX | Xxxxxxxxx | predictive | High |
4 | XXX.XX.XX.X/XX | Xxxxxx Xxxxxx | predictive | High |
5 | XXX.XXX.XXX.X/XX | Xxxxxx | predictive | High |
6 | XXX.XXX.XXX.X/XX | Xxxxxxx | predictive | High |
7 | XXX.XXX.XXX.X/XX | Xxxxxxxxx | predictive | High |
TTP - Tactics, Techniques, Procedures (1)
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.