VYPR
High severity7.5OSV Advisory· Published Feb 2, 2026· Updated Apr 15, 2026

CVE-2026-0599

CVE-2026-0599

Description

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.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
text-generationPyPI
< 3.3.73.3.7

Affected products

2

Patches

Vulnerability mechanics

References

4

News mentions

0

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