CVE-2023-39456
Published: 17 October 2023
Summary
CVE-2023-39456 is a high-severity Improper Input Validation (CWE-20) vulnerability in Fedoraproject Fedora. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 7.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2023-39456 is an improper input validation vulnerability, tracked under CWE-20, that resides in Apache Traffic Server when processing malformed HTTP/2 frames. It affects versions 9.0.0 through 9.2.2 and carries a CVSS 3.1 base score of 7.5 reflecting network attackability without authentication or user interaction and a high impact on availability.
An unauthenticated remote attacker can send crafted HTTP/2 frames to trigger the flaw, resulting in a denial-of-service condition that disrupts service availability while leaving confidentiality and integrity unaffected.
Advisories from the Apache project and downstream distributions such as Fedora and Debian state that users should upgrade to version 9.2.3, which contains the fix; corresponding packages have been published in those repositories.
The associated EPSS score has remained flat at 0.0782 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-43179
Vulnerability details
Improper Input Validation vulnerability in Apache Traffic Server with malformed HTTP/2 frames.This issue affects Apache Traffic Server: from 9.0.0 through 9.2.2. Users are recommended to upgrade to version 9.2.3, which fixes the issue.
- 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.