CVE-2024-9053: vllm-project vllm Deserialization of Untrusted Data
Vulnerability summary
CVE-2024-9053 is a critical (CVSS 9.8) Deserialization of Untrusted Data vulnerability in vllm-project vllm. EPSS estimates a 1.38% chance of exploitation in the next 30 days, higher than 71.7% of scored vulnerabilities. 1 public exploit is recorded.
Advisory lineage
Upstream 0 · Downstream 0 · Related 1Timeline
- 20-03-2025PublishedVulnerability first disclosed.
- 15-10-2025Last modifiedVulnerability information updated.
Description
vllm-project vllm version 0.6.0 contains a vulnerability in the AsyncEngineRPCServer() RPC server entrypoints. The core functionality run_server_loop() calls the function _make_handler_coro(), which directly uses cloudpickle.loads() on received messages without any sanitization. This can result in remote code execution by deserializing malicious pickle data.
CVSS metrics
4 scores · 3 sources · 2 versions- NVDNIST9.8CriticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
- NVDNIST9.8CriticalCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS trend
Probability
1.38%
Chance of exploitation in the next 30 days
Percentile
72%
Versus all other CVEs
30-day change
0.00 pp
From 1.38% on 20-09-2026
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
1 foundExploit Reference (huntr.com)
Maturity: unknown
Weaknesses
CWE · root cause- CWE-502Deserialization of Untrusted DataThe product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.
- CWE-78Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
Affected systems
Vllm-project2 products
- vllm0.6.0
- vllm-project/vllm≥ unspecified, ≤ latest
PyPI1 product
- vllm≤ 0.6.0
2 vendors · 3 products
References
5 links- github.com/vllm-project/vllmPACKAGE