ModelTC LightLLM up to 1.2.0 image_url/audio_url server-side request forgery

Summaryinfo

A vulnerability described as problematic has been identified in ModelTC LightLLM up to 1.2.0. The impacted element is an unknown function. Executing a manipulation of the argument image_url/audio_url can lead to server-side request forgery. The identification of this vulnerability is CVE-2026-103243. The attack may be launched remotely. There is no exploit available.

Detailsinfo

A vulnerability was found in ModelTC LightLLM up to 1.2.0. It has been declared as problematic. This vulnerability affects an unknown code block. The manipulation of the argument image_url/audio_url with an unknown input leads to a server-side request forgery vulnerability. The CWE definition for the vulnerability is CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. As an impact it is known to affect confidentiality. CVE summarizes:

LightLLM through 1.2.0 fails to validate image_url and audio_url parameters in multimodal endpoints, allowing unauthenticated attackers to perform server-side request forgery. Attackers can supply arbitrary URLs to fetch internal resources, with vision model processing disclosing content or error responses revealing internal network topology.

The advisory is shared for download at github.com. This vulnerability was named CVE-2026-103243 since 09/30/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are known technical details, but no exploit is available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 09/30/2026).

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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Productinfo

Vendor

• ModelTC

Name

• LightLLM

Version

• 1.0
• 1.1
• 1.2.0

Website

• Product: https://github.com/ModelTC/LightLLM/

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