GCD AI RADAR
incidents/AIR-2024-0211

CVE-2024-21836: llama.cpp heap-based buffer overflow in tensor headers

Attack on AI2 Disclosed vulnerabilityInfrastructure vulnerability

A heap-based buffer overflow vulnerability exists in the header tensor parsing functionality of llama.cpp. Attackers can trigger this flaw via a malicious GGUF file to achieve code execution.

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, Open-weight model
products
llama.cpp
incident date
26 Feb 2024
first reported
26 Feb 2024
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-2024-21836 · buffer-overflow · llama.cpp
record
created 2026-10-18 10:04Z · updated 2026-10-18 10:04Z · json

Sources · 1

  1. 2024-02-26
    CVE-2024-21836: A heap-based buffer overflow vulnerability exists in the GGUF library header.n_tensors functionality of llama.cpp Commit 18c2e17.
    NVD · nvd.nist.gov/vuln/detail/CVE-2024-21836

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