GCD AI RADAR
incidents/AIR-2026-0987

CVE-2026-27940: Integer overflow in llama.cpp gguf parser

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

An integer overflow in llama.cpp leads to an undersized heap allocation during GGUF file initialization. This allows attacker-controlled data to overflow the buffer boundary, which was addressed in version b8146.

disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why

Details

type
Attack on AI
An AI model, agent or AI-powered product was the thing exploited, abused or leaked.
categories
  • Infrastructure vulnerability
    CVEs and advisories in AI frameworks, inference servers, MCP servers, AI developer tools and hosting stacks.
owasp llm top 10
mitre atlas
no technique for these categories
Both rows are derived from the type and categories (OWASP 2025 edition, ATLAS release 2026.09), not classified per record. How
severity
2 · Disclosed vulnerability
CVE or vendor advisory, patched or patchable, no confirmed exploitation.
targets
Framework / tooling
products
llama.cpp
incident date
12 Mar 2026
first reported
12 Mar 2026
origin
NVD
Vulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
classifier confidence
0.95 · published at or above 0.80; see the methodology
tags
CVE-2026-27940 · heap-overflow · integer-overflow
record
created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json

Sources · 1

  1. 2026-03-12
    CVE-2026-27940: llama.cpp is an inference of several LLM models in C/C++.
    NVD · nvd.nist.gov/vuln/detail/CVE-2026-27940

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