CVE-2026-0599High· 7.5▾ TwilightHugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption
▾ Twilight zone — High severity, or a signal on a lesser flaw
impact 41.3 · likelihood 5.6 · exploitation 0
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Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
22%
22% → 28%
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.
text-generation < 3.3.7Upgrade to a patched release:
text-generation 3.3.7Field changes observed since this record was first indexed.
Connected by shared product, vendor, weakness, or advisory.