CVE-2025-32444: vLLM Remote Code Execution via Mooncake Integration
vLLM
vLLM instances utilizing the Mooncake integration were vulnerable to remote code execution due to insecure pickle-based serialization over ZeroMQ sockets. The sockets were bound to all interfaces, increasing exposure to network attackers.
disclosed CVENo confirmed exploitation, so this record is tracked as a disclosed vulnerability and not counted as an incident. It moves into the counts if CISA or the vendor confirms exploitation. Why
- CVSS
- 10.0
- EPSS
- 0.02 · top 21% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 29 Apr 2025
- last update
- 30 Apr 2025
- CVE ids
Timeline · 2
Sources · 2
Advisories and databases
- 2025-04-29CVE-2025-32444: vLLM Vulnerable to Remote Code Execution via Mooncake IntegrationGitHub Advisory Database · github.com/advisories/GHSA-hj4w-hm2g-p6w5
- 2025-04-30CVE-2025-32444: vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs.NVD · nvd.nist.gov/vuln/detail/CVE-2025-32444
Titles and links belong to their publishers. The summary above is written by gcdRadar in its own words; data is CC BY-SA 4.0.
Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerability
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- no technique for these categories
- dates
- happened 29 Apr 2025 · first reported 29 Apr 2025
- origin
- GitHub Advisory DatabaseVulnerability record from NVD / the GitHub Advisory Database. This product uses the NVD API but is not endorsed or certified by the NVD.
- record
- confidence 0.95 · created 2026-10-18 07:00Z · updated 2026-10-18 10:04Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
Copy a brief
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the brief as text
# CVE-2025-32444: vLLM Remote Code Execution via Mooncake Integration https://gcdradar.vercel.app/incidents/cve-2025-32444-vllm-remote-code-execution-via-mooncake-integ · AIR-2025-0277 · closed 2025-04-29 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2025-04-29 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2025-32444 - CVSS: 10 ## Summary vLLM instances utilizing the Mooncake integration were vulnerable to remote code execution due to insecure pickle-based serialization over ZeroMQ sockets. The sockets were bound to all interfaces, increasing exposure to network attackers. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2025-04-30: CVE-2025-32444: vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. (https://nvd.nist.gov/vuln/detail/CVE-2025-32444) - 2025-04-29: CVE-2025-32444: vLLM Vulnerable to Remote Code Execution via Mooncake Integration (https://github.com/advisories/GHSA-hj4w-hm2g-p6w5) ## Sources - 2025-04-29 GitHub Advisory Database: CVE-2025-32444: vLLM Vulnerable to Remote Code Execution via Mooncake Integration https://github.com/advisories/GHSA-hj4w-hm2g-p6w5 - 2025-04-30 NVD: CVE-2025-32444: vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. https://nvd.nist.gov/vuln/detail/CVE-2025-32444 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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