Open actionable advisories and recorded vendor fixes. This public package view has no inventory attached and cannot establish whether your deployment is affected. A vendor fix never resolves your finding; verify your installed version and the source guidance.
Open advisories
2 actionable advisories, newest first. Withdrawn advisories and news are excluded. Coverage is partial.
A vulnerability in huggingface/text-generation-inference version 3.3.6 allows unauthenticated remote attackers to exploit unbounded external image fetching during input validation in VLM mode. The issue arises when the router scans inputs for Markdown image links and performs a blocking HTTP GET request, reading the entire response body into memory and cloning it before decoding. This behavior can lead to resource exhaustion, including network bandwidth saturation, memory inflation, and CPU overutilization. The vulnerability is triggered even if the request is later rejected for exceeding token limits. The default deployment configuration, which lacks memory usage limits and authentication, exacerbates the impact, potentially crashing the host machine. The issue is resolved in version 3.3.7.
Recommended action: Upgrade to 3.3.7 or later, then redeploy and verify.A vendor fix does not resolve your finding until you verify it in your own systems.
A code injection vulnerability exists in the huggingface/text-generation-inference repository, specifically within the autodocs.yml workflow file. The vulnerability arises from the insecure handling of the github.headref user input, which is used to dynamically construct a command for installing a software package. An attacker can exploit this by forking the repository, creating a branch with a malicious payload as the name, and then opening a pull request to the base repository. Successful exploitation could lead to arbitrary code execution within the context of the GitHub Actions runner. This issue affects versions up to and including v2.0.0 and was fixed in version 2.0.0.
Recommended action: Upgrade to 2.0.0 or later, then redeploy and verify.A vendor fix does not resolve your finding until you verify it in your own systems.