Vulnerability 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.
CVSS Score
HIGH
Related Weaknesses (CWE)
References
- https://github.com/huggingface/text-generation-inference/commit/24ee40d143d8d046
- https://huntr.com/bounties/1d3f2085-666c-4441-b265-22f6f7d8d9cd
FAQ
What is CVE-2026-0599?
CVE-2026-0599 is a vulnerability with a CVSS score of 7.5 (HIGH). 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 iss...
How severe is CVE-2026-0599?
CVE-2026-0599 has been rated HIGH with a CVSS base score of 7.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-0599?
Check the references section above for vendor advisories and patch information. Review vendor security bulletins for remediation guidance.