CVE-2023-34152
Published: 30 May 2023
Summary
CVE-2023-34152 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Fedoraproject Fedora. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 1.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
A vulnerability in ImageMagick enables remote code execution through the OpenBlob function when the software is built with the --enable-pipes option. The flaw stems from improper input validation and operating-system command injection, allowing untrusted data to influence command execution paths. It carries a CVSS 3.1 score of 9.8 and is tracked under CWE-20 and CWE-78.
Unauthenticated attackers with network access can supply crafted input to trigger the flaw, resulting in arbitrary code execution with full confidentiality, integrity, and availability impact on the affected system. No user interaction or privileges are required for successful exploitation.
Red Hat, Fedora, and upstream ImageMagick project references indicate that the issue is addressed through coordinated updates and package advisories that disable or correct the vulnerable pipe-handling code paths.
The associated EPSS score currently stands at 0.6425 after reaching a peak of 0.7496, reflecting sustained exploitation interest following public disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-38252
Vulnerability details
A vulnerability was found in ImageMagick. This security flaw cause a remote code execution vulnerability in OpenBlob with --enable-pipes configured.
- 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.
Directly implements checks on information inputs to reject invalid data before processing.
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.
Platform-independent apps typically execute inside a managed runtime or sandbox that restricts direct OS command execution, reducing the ability to exploit OS command injection.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.