Cyber Resilience

CVE-2024-23605

HighPublic PoC

Published: 26 February 2024

Published
26 February 2024
Modified
27 April 2026
KEV Added
Patch
CVSS Score v3.1 8.8 CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
EPSS Score 0.0018 39.8th percentile
Risk Priority 18 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-23605 is a high-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Ggml Llama.Cpp. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Client Execution (T1203); ranked at the 39.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as NLP and Transformers; in the Data-Related Vulnerabilities risk domain; MITRE ATLAS techniques in scope: AI Supply Chain Compromise (AML.T0010), External Harms (AML.T0048).

EU & UK References

Vulnerability details

A heap-based buffer overflow vulnerability exists in the GGUF library header.n_kv functionality of llama.cpp Commit 18c2e17. A specially crafted .gguf file can lead to code execution. An attacker can provide a malicious file to trigger this vulnerability.

CWE(s)

AI Security AnalysisAI

AI Category
NLP and Transformers
Risk Domain
Data-Related Vulnerabilities
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
llama.cpp is a C++ inference engine for LLaMA and other transformer-based large language models (LLMs), using the GGUF file format for model storage. The vulnerability is in the GGUF parsing code during model loading.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1203 Exploitation for Client Execution Execution
Adversaries may exploit software vulnerabilities in client applications to execute code.
Why these techniques?

Heap-based buffer overflow in llama.cpp GGUF library parsing enables arbitrary code execution via a specially crafted .gguf model file, facilitating Exploitation for Client Execution.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0010: AI Supply Chain CompromiseAML.T0048: External Harms

Affected Assets

ggml
llama.cpp
≤ 2024-01-09

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.

addresses: CWE-787

Out-of-bounds writes that corrupt control flow or inject shellcode are rendered non-executable by the same memory protections.

References