GHSA-j7x9-7j54-2v3h · Severity: high · Ecosystem: pip — Hugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption
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.
Conclusion & alert: CVE-2026-0599 is rated Moderate Risk (45.8/100): CVSS High severity, with low exploitation likelihood (EPSS 0.61%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-15 | 0.26% | 0.61% | +0.35% |
| 2 | 2026-04-11 | 0.24% | 0.26% | +0.01% |
| 3 | 2026-03-16 | — | 0.24% | — |
Full EPSS history (5 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 7.5 | 3.0 | HIGH |
|
3.9 | 3.6 | [email protected] |
GHSA-j7x9-7j54-2v3h · Severity: high · Ecosystem: pip — Hugging Face Text Generation Inference vulnerable to Uncontrolled Resource Consumption
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| No affected products in dataset. | |||