CVE-2026-93436

HIGH
Published September 17, 2026

vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker...

Full CISO analysis pending enrichment.

How severe is it?

CVSS 3.1
7.5 / 10
EPSS
0.5%
chance of exploitation in 30 days
Higher than 44% of all CVEs
Exploitation Status
No known exploitation
Sophistication
N/A

What is the attack surface?

AV AC PR UI S C I A
AV Network
AC Low
PR None
UI None
S Unchanged
C None
I None
A High

What should I do?

No patch available

Monitor for updates. Consider compensating controls or temporary mitigations.

Which compliance frameworks are affected?

Compliance analysis pending. Sign in for full compliance mapping when available.

Frequently Asked Questions

What is CVE-2026-93436?

vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.

Is CVE-2026-93436 actively exploited?

No confirmed active exploitation of CVE-2026-93436 has been reported, but organizations should still patch proactively.

How to fix CVE-2026-93436?

No patch is currently available. Monitor vendor advisories for updates.

What is the CVSS score for CVE-2026-93436?

CVE-2026-93436 has a CVSS v3.1 base score of 7.5 (HIGH). The EPSS exploitation probability is 0.54%.

What are the technical details?

Original Advisory

vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote attackers can submit requests with max_tokens=0 to exhaust decode-worker memory without bound until the worker restarts.

Weaknesses (CWE)

CWE-401 — Missing Release of Memory after Effective Lifetime: The product does not sufficiently track and release allocated memory after it has been used, making the memory unavailable for reallocation and reuse.

  • [Implementation] Choose a language or tool that provides automatic memory management, or makes manual memory management less error-prone. For example, glibc in Linux provides protection against free of invalid pointers. When using Xcode to target OS X or iOS, enable automatic reference counting (ARC) [REF-391]. To help correctly and consistently manage memory when programming in C++, consider using a smart pointer class such as std::auto_ptr (defined by ISO/IEC ISO/IEC 14882:2003), std::shared_ptr and std::unique_ptr (specified by an upcoming revision of the C++ standard, informally referred to as C++ 1x), or equivalent solutions such as Boost.
  • [Architecture and Design] Use an abstraction library to abstract away risky APIs. Not a complete solution.

Source: MITRE CWE corpus.

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

Timeline

Published
September 17, 2026
Last Modified
September 17, 2026
First Seen
September 17, 2026