CVE-2025-5137
Published: 25 May 2025
Summary
CVE-2025-5137 is a medium-severity Injection (CWE-74) vulnerability in Dedecms Dedecms. Its CVSS base score is 5.1 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 45.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-16232
Vulnerability details
A vulnerability was found in DedeCMS 5.7.117. It has been classified as critical. Affected is an unknown function of the file dede/sys_verifies.php?action=getfiles of the component Incomplete Fix CVE-2018-9175. The manipulation of the argument refiles leads to code injection. It is…
more
possible to launch the attack remotely. The exploit has been disclosed to the public and may be used.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CVE-2025-5137 is a code injection vulnerability in the public-facing DedeCMS web application that enables remote exploitation for arbitrary code execution (RCE), akin to deploying a web shell via manipulated file writing and inclusion.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Developer assessments and testing (including injection-focused techniques) identify improper neutralization of special elements, and the verifiable flaw remediation corrects them pre-deployment.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.