CVE-2024-39719
Info Disclosure in Ollama ≤ 0.3.14
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2024-39719 is a high-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Ollama Ollama. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Software (T1592.002); ranked in the top 10% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to SI-11 (Error Handling) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-39719 affects Ollama versions through 0.3.14 and stems from insufficient error handling in the CreateModel route exposed by the api/create endpoint. When a non-existent path parameter is supplied, the server returns a "File does not exist" message, disclosing the presence or absence of arbitrary files on the host filesystem. The flaw is tracked under CWE-209 and carries a CVSS 3.1 base score of 7.5.
An unauthenticated attacker with network access can repeatedly invoke the CreateModel API using crafted path values. By observing whether the error message appears, the attacker can map readable files on the server, establishing a reliable information-gathering primitive that may aid subsequent attacks.
The single reference points to analysis from Oligo Security that examines broader model-handling issues in Ollama; no vendor advisory or patch details are supplied in the available data. The associated EPSS score has reached a peak of 0.4510 with a current value of 0.4451, indicating sustained exploitation interest in this AI/ML inference platform.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-38204
Vulnerability Data
An issue was discovered in Ollama through 0.3.14. File existence disclosure can occur via api/create. When calling the CreateModel route with a path parameter that does not exist, it reflects the "File does not exist" error message to the attacker,…
more
providing a primitive for file existence on the server.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Ollama is an open-source framework providing REST APIs (e.g., /api/create, /api/pull, /api/push) for managing, pulling, pushing, and running AI models locally, particularly LLMs, making it primarily an APIs and Models software.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V16.5.1
Mitigating Controls (NIST 800-53 r5) AI
si-11 directly requires error messages to avoid revealing exploitable information about the system or its data.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require sanitized error handling to prevent sensitive data disclosure.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding standards explicitly forbid exposing sensitive data in errors.
Security testing can detect error messages that leak sensitive information.
Logging policy can require suppression of sensitive data in error messages.
Secure SDLC mandates error-handling rules that avoid leaking sensitive information.
Application security requirements can specify safe error messaging.
Secure architecture principles include proper exception handling.