CVE-2025-58364
Published: 11 September 2025
Summary
CVE-2025-58364 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Openprinting Cups. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 40.0th 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-2025-28982
Vulnerability details
OpenPrinting CUPS is an open source printing system for Linux and other Unix-like operating systems. In versions 2.4.12 and earlier, an unsafe deserialization and validation of printer attributes causes null dereference in the libcups library. This is a remote DoS…
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vulnerability available in local subnet in default configurations. It can cause the cups & cups-browsed to crash, on all the machines in local network who are listening for printers (so by default for all regular linux machines). On systems where the vulnerability CVE-2024-47176 (cups-filters 1.x/cups-browsed 2.x vulnerability) was not fixed, and the firewall on the machine does not reject incoming communication to IPP port, and the machine is set to be available to public internet, attack vector "Network" is possible. The current versions of CUPS and cups-browsed projects have the attack vector "Adjacent" in their default configurations. Version 2.4.13 contains a patch for CVE-2025-58364.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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 developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
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.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.