CVE-2026-115912: vLLM shared-memory multimodal remote code execution
vLLM
Improper trust handling of shared-memory multimodal features in vLLM scale-out deployments allows authenticated callers to trigger arbitrary Python execution via insecure deserialization. Version 0.32.0 addresses this vulnerability.
why this severityDisclosed high-severity vulnerability with a fix and no exploitation reported; CVSS 7.5.
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
- 7.5
- EPSS
- 0.01 · top 56% · 2026-11-13
- fix status
- Patched
- affected
- vLLM < 0.32.0
- fixed in
- vLLM 0.32.0
- first report
- 26 Oct 2026
- last update
- 28 Oct 2026
- CVE ids
What to do
Update to vLLM version 0.32.0.
Timeline · 2
Sources · 2
Advisories and databases
- 2026-10-26CVE-2026-115912: vLLM is an inference and serving engine for large language models.NVD · nvd.nist.gov/vuln/detail/CVE-2026-115912
- 2026-10-28CVE-2026-115912: vLLM: Public multimodal SHM handle forgery reaches worker-side `pickle.loads()` with insecure serialization disabledGitHub Advisory Database · github.com/advisories/GHSA-6757-hggm-hp2w
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Classification
- lane
- Patch now
- AI role
- Attack on AI
- categories
- Infrastructure vulnerabilitySupply chain
- severity
- 2 · Disclosed vulnerability
- fix status
- Patched
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- AML.T0010 AI Supply Chain Compromise
- dates
- happened 26 Oct 2026 · first reported 26 Oct 2026
- origin
- NVDVulnerability 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 2026-10-26 19:34Z · updated 2026-10-29 00:20Z
Lane, AI role, categories and severity come from the classifier; the OWASP and ATLAS rows are derived from the categories. How these are assigned
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the brief as text
# CVE-2026-115912: vLLM shared-memory multimodal remote code execution https://gcdradar.vercel.app/incidents/cve-2026-115912-vllm-shared-memory-multimodal-remote-code-ex · AIR-2026-1544 · closed 2026-10-26 - Lane: Patch now - Severity: 2 (Disclosed vulnerability): Disclosed high-severity vulnerability with a fix and no exploitation reported; CVSS 7.5. - Fix status: Patched - First reported: 2026-10-26 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-115912 - CVSS: 7.5 ## Summary Improper trust handling of shared-memory multimodal features in vLLM scale-out deployments allows authenticated callers to trigger arbitrary Python execution via insecure deserialization. Version 0.32.0 addresses this vulnerability. ## What to do Update to vLLM version 0.32.0. ## Affected and fixed versions - Affected: vLLM < 0.32.0 - Fixed in: vLLM 0.32.0 ## Latest updates - 2026-10-28: GitHub advisory published (https://github.com/advisories/GHSA-6757-hggm-hp2w) - 2026-10-26: CVE-2026-115912: vLLM is an inference and serving engine for large language models. (https://nvd.nist.gov/vuln/detail/CVE-2026-115912) ## Sources - 2026-10-26 NVD: CVE-2026-115912: vLLM is an inference and serving engine for large language models. https://nvd.nist.gov/vuln/detail/CVE-2026-115912 - 2026-10-28 GitHub Advisory Database: CVE-2026-115912: vLLM: Public multimodal SHM handle forgery reaches worker-side `pickle.loads()` with insecure serialization disabled https://github.com/advisories/GHSA-6757-hggm-hp2w Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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