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

Severity: high (CVSS 7.5 v3.0)
Exploited in the wild: not listed in CISA KEV
EPSS: 29.9% probability of exploitation in the next 30 days
Public exploit or detection template: none known
Published: 2026-02-02 · updated 2026-06-17
Weakness: CWE-400

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.

Affected products

huggingface/text-generation-inference: before 3.3.7 — fixed in 3.3.7

How to fix

Upgrade to a fixed version: huggingface/text-generation-inference 3.3.7. Check the vendor advisory for mitigations.

References

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