CVE 7.5 HIGH

Unbounded External Image Fetch in Validation Leads to Resource-Exhaustion DoS in huggingface/text-generation-inference_CVE-2026-0599

7.5 / 10
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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.

Basic Information

ID CVE-2026-0599
Source @huntr_ai
Published Feb 2, 2026 at 10:36

Affected Product

Vendor huggingface
Product huggingface/text-generation-inference
Version unspecified
Affected Versions huggingface huggingface/text-generation-inference unspecified

CWE Classification

References

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