vLLM AI server has several flaws allowing code execution and denial of service
vLLM is software for running AI language models on servers. Several security holes could let an attacker run their own code on the server, crash it, see data it should not, or bypass safety checks.
| Severity | HighVulnerability |
|---|---|
| Being exploited? | UnclearNo reports either way yet |
| Fix available? | UnclearNo fixed version published in the sources yet |
| How sure is this? | Official sourceBacked by an official source |
What happened
Multiple vulnerabilities in vLLM enable arbitrary code execution, denial of service, information disclosure and security control bypass. The updated advisory rates the overall risk high, with one related denial-of-service item rated medium.
Are you affected?
You are affected if you run vLLM for serving AI models, as the advisory does not list specific versions or configurations.
vLLM (specific versions not stated in the material)
What to do
- Check whether vLLM is installed or used in your environment and identify its version
- Check the CERT-Bund (BSI) advisory ZR-64d911ec for the fixed version and apply the vendor update as soon as it is available
- Restrict network access to vLLM services and do not expose them directly to the internet until patched
Timeline
- 27 Oct 2026, 11:33 UTCPublicly disclosed
- 27 Oct 2026, 11:33 UTCReported by CERT-Bund (BSI) · CERT-Bund (BSI)
- 27 Oct 2026, 11:37 UTCPicked up by Zero Radar
- 27 Oct 2026, 12:17 UTCReported by CERT-Bund (BSI) · CERT-Bund (BSI)
Sources 2 reports, oldest first
Official vendor, government CERT or advisory database
- [UPDATE] [hoch] vllm: Mehrere SchwachstellenCERT-Bund (BSI) · 27 Oct 2026, 11:33 UTC
- [UPDATE] [mittel] vllm: Mehrere Schwachstellen ermöglichen Denial of ServiceCERT-Bund (BSI) · 27 Oct 2026, 12:17 UTC
Technical details
- ID
- ZR-64d911ec
- Disclosed
- 27 Oct 2026, 11:33 UTC
- On Zero Radar
- 27 Oct 2026, 11:37 UTC (5 min after disclosure)
- Last change
- 27 Oct 2026, 12:23 UTC
The plain-language parts and the attack diagram were written by an AI model (anthropic/claude-haiku-5.5) from the sources above. Facts like versions, exploitation and dates come from the sources themselves. How Zero Radar works