<?xml version='1.0' encoding='UTF-8'?>
<?xml-stylesheet href="/static/style.xsl" type="text/xsl"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="en">
  <id>https://cve.radiocsirt.org/rss/recent/all/10</id>
  <title>Most recent entries from all</title>
  <updated>2026-10-04T15:35:28.837716+00:00</updated>
  <author>
    <name>Vulnerability-Lookup</name>
    <email>csirt@opendfir.org</email>
  </author>
  <link href="https://cve.radiocsirt.org" rel="alternate"/>
  <generator uri="https://lkiesow.github.io/python-feedgen" version="1.0.0">python-feedgen</generator>
  <subtitle>Contains only the most 10 recent entries.</subtitle>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/euvd-2026-333675</id>
    <title>EUVD-2026-333675</title>
    <updated>2026-10-04T15:35:28.938406+00:00</updated>
    <content>EUVD-2026-333675</content>
    <link href="https://cve.radiocsirt.org/vuln/euvd-2026-333675"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/fkie_cve-2026-54234</id>
    <title>fkie_cve-2026-54234</title>
    <updated>2026-10-04T15:35:28.938451+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a frontend-legal multi-request speculative decoding workload can cause the rejection sampler to produce a recovered token equal to the model vocabulary size boundary value, which is then converted to negative one when the engine selects the next live token for a request and is written back into the drafter's input ids; that out-of-vocabulary value is later consumed by the model's embedding and attention path and crashes the engine worker with a GPU device-side assertion. The same triggering request sequence is reachable through the public gRPC Generate and Abort endpoints, so a remote client that can send generation requests can crash the shared engine worker, aborting concurrent requests and causing a service-wide denial of service for other clients of the deployment until the worker is restarted. This issue is fixed in version 0.24.0.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/fkie_cve-2026-54234"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/ghsa-8wr5-jm2h-8r4f</id>
    <title>GHSA-8wr5-jm2h-8r4f — vLLM has Remote DoS via Invalid Recovered Token Reinjection</title>
    <updated>2026-10-04T15:35:28.938490+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: vllm</p>
<p>## Summary</p>
<p>A frontend-legal multi-request speculative workload can make vLLM produce an out-of-vocabulary recovered token equal to `vocab_size`, convert that value to `-1` when choosing the next live token for a request, and then feed that `-1` back into the next drafter input ids. On Qwen3 GPTQ this reaches the worker-side drafting / attention path and crashes the engine with a GPU `device-side assert`.</p>
<p>The same issue is reachable through the public gRPC request surface by sending a specific overlapping `Generate` / `Abort` sequence.</p>
<p>## Impact</p>
<p>- A remote client that can send public gRPC generation requests can crash the
  shared vLLM engine worker
- The triggering request sequence aborts concurrent requests and prevents later
  requests from completing until the worker is restarted
- In shared deployments, this is a service-wide denial of service for other
  clients, not just a failure isolated to the attacking requests
- The failure is reproducible, so repeated request sequences can sustain the
  outage</p>
<p>## Affected version</p>
<p>- Confirmed on vLLM `0.17.1`
- Earlier and later versions have not been checked yet in this report</p>
<p>## Repro model</p>
<p>- Official Hugging Face repo:
  - [`Qwen/Qwen3-0.6B-GPTQ-Int8`](https://huggingface.co/Qwen/Qwen3-0.6B-GPTQ-Int8)
- Anyone wants to reproduce the bug with my PoC scripts should download `Qwen3-0.6B-GPTQ-Int8` first</p>
<p>## Trigger chain</p>
<p>1. A legal multi-request speculative workload keeps structured-output state,
   speculative decoding,…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/ghsa-8wr5-jm2h-8r4f"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/pysec-2026-3542</id>
    <title>PYSEC-2026-3542 — vLLM has Remote DoS via Invalid Recovered Token Reinjection</title>
    <updated>2026-10-04T15:35:28.938564+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml"><p><strong>Affected:</strong> PyPI: vllm</p>
<p>## Summary</p>
<p>A frontend-legal multi-request speculative workload can make vLLM produce an out-of-vocabulary recovered token equal to `vocab_size`, convert that value to `-1` when choosing the next live token for a request, and then feed that `-1` back into the next drafter input ids. On Qwen3 GPTQ this reaches the worker-side drafting / attention path and crashes the engine with a GPU `device-side assert`.</p>
<p>The same issue is reachable through the public gRPC request surface by sending a specific overlapping `Generate` / `Abort` sequence.</p>
<p>## Impact</p>
<p>- A remote client that can send public gRPC generation requests can crash the
  shared vLLM engine worker
- The triggering request sequence aborts concurrent requests and prevents later
  requests from completing until the worker is restarted
- In shared deployments, this is a service-wide denial of service for other
  clients, not just a failure isolated to the attacking requests
- The failure is reproducible, so repeated request sequences can sustain the
  outage</p>
<p>## Affected version</p>
<p>- Confirmed on vLLM `0.17.1`
- Earlier and later versions have not been checked yet in this report</p>
<p>## Repro model</p>
<p>- Official Hugging Face repo:
  - [`Qwen/Qwen3-0.6B-GPTQ-Int8`](https://huggingface.co/Qwen/Qwen3-0.6B-GPTQ-Int8)
- Anyone wants to reproduce the bug with my PoC scripts should download `Qwen3-0.6B-GPTQ-Int8` first</p>
<p>## Trigger chain</p>
<p>1. A legal multi-request speculative workload keeps structured-output state,
   speculative decoding,…</p></div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/pysec-2026-3542"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/rhsa-2026:60363</id>
    <title>RHSA-2026:60363 — Red Hat Security Advisory: Red Hat AI Inference Server 3.3.6 (Spyre)</title>
    <updated>2026-10-04T15:35:28.938632+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>vllm: vLLM: Denial of Service via malformed multimodal input or token injection vllm: vLLM: Supply-chain integrity issue due to inconsistent revision pinning controls vllm: vLLM: Information disclosure via integer truncation vllm: vLLM: Denial of Service via malformed speculative decoding workload vllm: vLLM: Denial of Service via adversarial regular expression in structured outputs API</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/rhsa-2026:60363"/>
  </entry>
  <entry>
    <id>https://cve.radiocsirt.org/vuln/wid-sec-w-2026-2176</id>
    <title>WID-SEC-W-2026-2176 — vllm: Mehrere Schwachstellen ermöglichen Denial of Service</title>
    <updated>2026-10-04T15:35:28.938658+00:00</updated>
    <content type="xhtml">
      <div xmlns="http://www.w3.org/1999/xhtml">
        <p>Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um einen Denial of Service Angriff durchzuführen.</p>
      </div>
    </content>
    <link href="https://cve.radiocsirt.org/vuln/wid-sec-w-2026-2176"/>
  </entry>
</feed>
