CVE-2024-22476
Published: 16 May 2024
Summary
CVE-2024-22476 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Intel (inferred from references). Its CVSS base score is 10.0 (Critical).
Operationally, ranked in the top 1.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Improper input validation affects Intel Neural Compressor software versions prior to 2.5.0. The flaw, tracked as CWE-20, received a CVSS 3.1 score of 10.0 reflecting network attack vector, low complexity, no required privileges or user interaction, and full impact on confidentiality, integrity, and availability within a changed scope.
An unauthenticated remote attacker can supply crafted input to trigger the vulnerability and obtain privilege escalation on the affected system. Exploitation requires only remote network access and can lead to complete compromise of the host running the compressor component.
The vendor advisory at https://www.intel.com/content/www/us/en/security-center/advisory/intel-sa-01109.html directs users to upgrade to Neural Compressor 2.5.0 or later to address the input-validation issue. The associated EPSS score reached a peak of 0.7748 and currently stands at 0.7490.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-20020
Vulnerability details
Improper input validation in some Intel(R) Neural Compressor software before version 2.5.0 may allow an unauthenticated user to potentially enable escalation of privilege via remote access.
- 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.