Live › vulnerability › CVE-2026-116608
Go to dashboardVideoLLaMA2 up to version 1.1 has a flaw in its load_pretrained_model function, where manipulating the _name_or_path argument bypasses integrity validation when loading a model. An attacker who can supply a model path may get a tampered model or code loaded into the process.
Summary written from the sources below. Check the originals before acting.
First seen by InfraStack 2026-10-27 01:34 UTC. All times on this page are UTC.
Teams that run VideoLLaMA2 1.1 or earlier and let any outside input influence the model name or path passed to load_pretrained_model. Deployments that load a fixed, locally vetted model directory with no user-controlled path are much less exposed. Teams not using VideoLLaMA2 can skip it.
No product ranges from the sources yet.
1.1 or lower, for example with pip show videollama2 or by reading the package version in the project.load_pretrained_model in videollama2/model/__init__.py that take a path or name from user input or config.load_pretrained_model.Each row is the first time that source carried this signal. The analyst’s rows are its own findings.
A security vulnerability has been detected in DAMO Academy VideoLLaMA2 up to 1.1. Affected by this issue is the function load_pretrained_model of the file videollama2/model/init.py of the component Model Loading. The manipulation of the argument _name_or_path leads to improper validation of integrity check value. Remote exploitation of the attack is possible. The exploit has been disclosed publicly and may be used. The project was informed of the problem early through an issue report but has not responded yet.
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