CVE-2024-8063

HighPublic PoC

Published: 20 March 2025

Published

20 March 2025

Modified

13 May 2025

KEV Added

—

Patch

—

CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS Score 0.0007 20.6th percentile

Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-8063 is a high-severity Divide By Zero (CWE-369) vulnerability in Ollama Ollama. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked at the 20.6th 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.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-11 (Error Handling).

Deeper analysis

CVE-2024-8063, published on 2025-03-20, is a divide by zero vulnerability (CWE-369) affecting ollama/ollama version v0.3.3. The issue arises during the import of GGUF models when a crafted type is specified for the `block_count` parameter in the Modelfile. Processing such a model by the server triggers the vulnerability, resulting in a denial of service (DoS) condition due to a crash. It carries a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).

The vulnerability is exploitable by any unauthenticated remote attacker with network access to the Ollama server. By providing a specially crafted GGUF model via a Modelfile, the attacker can induce a server crash during model import and processing, achieving a denial of service that disrupts availability without impacting confidentiality or integrity.

Advisories and mitigation details are available in the Huntr bounty report at https://huntr.com/bounties/fd8e1ed6-21d2-4c9e-8395-2098f11b7db9.

EU & UK References

🇪🇺 ENISA EUVD: EUVD-2025-6935

Vulnerability details

A divide by zero vulnerability exists in ollama/ollama version v0.3.3. The vulnerability occurs when importing GGUF models with a crafted type for `block_count` in the Modelfile. This can lead to a denial of service (DoS) condition when the server processes…

the model, causing it to crash.

CWE(s): CWE-369

AI Security AnalysisAI

AI Category: NLP and Transformers
Risk Domain: Data-Related Vulnerabilities
OWASP Top 10 for LLMs 2025: None mapped
Classification Reason: Matched keywords: ollama

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1499.004 Application or System Exploitation Impact

Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users.

attack.mitre.org →

Why these techniques?

The divide-by-zero vulnerability in Ollama allows exploitation to crash the server during model import, enabling endpoint denial of service via application exploitation.