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GHSA-g28h-2cmm-rj9x
langchain-nvidia-ai-endpointsSummary
langchain-nvidia-ai-endpoints versions before 1.4.2 accepted local filesystem paths as image inputs for Vision Language Model (VLM) requests. If an application passed attacker-controlled image input to ChatNVIDIA or VLM reranking APIs, an attacker could cause files readable by the application process to be read and included in the outbound request to the configured NVIDIA/NIM model endpoint.
Impact
Applications are affected if they use VLM image inputs with ChatNVIDIA or NVIDIARerank and allow untrusted users to control image URLs or document image metadata.
An attacker who can control those inputs may be able to read local files accessible to the application process. Applications that do not use VLM image inputs, or that only pass trusted image references, are not affected.
Patched Version
Upgrade to langchain-nvidia-ai-endpoints >= 1.4.2.
The patched version rejects raw local filesystem paths for VLM image inputs. Supported inputs are remote URLs, data:image/...;base64,... URIs, and supported asset/file IDs.
Workarounds
If upgrading is not immediately possible, applications should reject local filesystem paths in user-controlled VLM image inputs and only allow trusted remote URLs, data URIs, or known safe asset/file IDs.
Applications should also run with least-privilege filesystem access so that the application process cannot read files it does not need.
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The vulnerability can be exploited over the network without needing physical access. It is easy for an attacker to exploit this vulnerability. An attacker does not need any special privileges or access rights. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the confidentiality of the information.
Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.
Probability that this vulnerability will be exploited in the wild within the next 30 days.
We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.
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