CVE-2025-5497
Published: 03 June 2025
Summary
CVE-2025-5497 is a low-severity Improper Input Validation (CWE-20) vulnerability in Phpwcms Phpwcms. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 35.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-16727
Vulnerability details
A vulnerability was detected in slackero phpwcms up to 1.9.45/1.10.8. The impacted element is an unknown function of the file include/inc_module/mod_feedimport/inc/processing.inc.php of the component Feedimport Module. Performing manipulation of the argument cnt_text results in deserialization. The attack can be initiated…
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remotely. The exploit is now public and may be used. Upgrading to version 1.9.46 and 1.10.9 is sufficient to resolve this issue. The patch is named 41a72eca0baa9d9d0214fec97db2400bc082d2a9. It is recommended to upgrade the affected component.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Deserialization vulnerability (CWE-502) in public-facing phpwcms web application's Feedimport module (processing.inc.php) via remote manipulation of cnt_text argument enables arbitrary code execution, directly facilitating exploitation of public-facing applications.
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.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.