CVE-2026-45615
Published: 29 May 2026
Summary
CVE-2026-45615 is a high-severity Improper Input Validation (CWE-20) vulnerability. Its CVSS base score is 8.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 9.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-33314
Vulnerability details
mouse07410/asn1c is an ASN.1 compiler. In 1.4 and earlier, a memory safety vulnerability was identified in the OER decoding skeleton files generated by asn1c (specifically INTEGER_oer.c). When parsing a maliciously crafted, zero-length OER payload for a variable-length, non-negative INTEGER type,…
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the decoder fails to validate the required bytes before extracting the Most Significant Bit (MSB). This forces a precise 1-byte Heap Out-of-Bounds (OOB) Read. Because asn1c generated code is primarily deployed to parse untrusted network inputs (such as V2X network protocols, 5G telecom headers, or X.509 certificates), when the decoder processes untrusted network-originated input, a remote attacker can exploit this to cause a Denial of Service (DoS) or trigger incorrect integer interpretation in downstream applications (e.g., protocol state poisoning or logic bypass).
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Vulnerability in ASN.1 OER decoder for untrusted network inputs (protocols like V2X/5G/X.509) directly enables remote exploitation of public-facing applications, causing DoS or logic bypass via OOB read.
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.