CVE-2026-108957
6.3MediumPublished 13 Oct 2026 · NVD status: Deferred · AI triage by gemini-3.8-flash
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- Required
- Impact
- Limited impact
- Weakness
- CWE-74, CWE-94
Impact
Remote attackers can execute arbitrary code by tricking the application into processing a malicious model path. This requires user interaction or untrusted input passed directly to the configuration loader.
Root cause
Improper input sanitization of the llm_model_name_or_path parameter in _load_text_config allows code injection.
Affected systems
TinyLLaVA_Factory up to commit 1abc6ac5e76a68d0fd087a071b56da968e69ca9b
CVSS v3.1 · CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
Fix & remediation
No official patched release exists yet. Validate or strictly whitelist the llm_model_name_or_path parameter before passing it to TinyLlavaConfig to prevent loading arbitrary strings or remote paths.
$ git -C TinyLLaVA_Factory rev-parse HEADAI-suggested. Run it in staging first and check it against the vendor advisory. Why?
NVD description
A security flaw has been discovered in TinyLLaVA TinyLLaVA_Factory up to 1abc6ac5e76a68d0fd087a071b56da968e69ca9b. The impacted element is the function _load_text_config of the file tinyllava/model/configuration_tinyllava.py of the component TinyLlavaConfig. Performing a manipulation of the argument llm_model_name_or_path results in code injection. Remote exploitation of the attack is possible. The exploit has been released to the public and may be used for attacks. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet.