CVE-2026-0599
HIGH
GHSA-j7x9-7j54-2v3h
CVSS Vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Lifecycle Timeline
3Tags
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.
Analysis
Unbounded external image fetching in Hugging Face text-generation-inference 3.3.6 VLM mode enables unauthenticated remote attackers to exhaust system resources through malicious Markdown image links in API requests. The router fetches and loads entire image files into memory during input validation regardless of subsequent token limit rejections, causing memory inflation, bandwidth saturation, and potential denial of service on unprotected deployments. …
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Remediation
Within 24 hours: Inventory all systems running text-generation-inference version 3.3.6 and assess exposure to untrusted networks. Within 7 days: Implement network-level restrictions to limit outbound image fetching and deploy WAF rules to restrict input sizes; disable VLM mode if operationally feasible. …
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