CVE-2026-54232: Dependency confusion flaw in vLLM Dockerfile
vLLM
A dependency confusion vulnerability in vLLM prior to version 0.22.1 allows attackers to execute arbitrary code during Docker image builds. Registration of a malicious package name on PyPI enables container image backdooring.
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
- 8.8
- EPSS
- 0.01 · top 53% · 2026-11-13
- fix status
- Fix status unknown
- first report
- 22 Jun 2026
- last update
- 22 Jun 2026
- CVE ids
Timeline · 1
Sources · 1
Advisories and databases
- 2026-06-22CVE-2026-54232: vLLM is an inference and serving engine for large language models (LLMs).NVD · nvd.nist.gov/vuln/detail/CVE-2026-54232
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 vulnerabilitySupply chain
- severity
- 2 · Disclosed vulnerability
- fix status
- Fix status unknown
- targets
- Framework / tooling
- owasp llm top 10
- LLM03:2025 Supply Chain
- mitre atlas
- AML.T0010 AI Supply Chain Compromise
- dates
- happened 22 Jun 2026 · first reported 22 Jun 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 2026-10-18 10:04Z · 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
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the brief as text
# CVE-2026-54232: Dependency confusion flaw in vLLM Dockerfile https://gcdradar.vercel.app/incidents/cve-2026-54232-dependency-confusion-flaw-in-vllm-dockerfile · AIR-2026-1122 · closed 2026-06-22 - Lane: Patch now - Severity: 2 (Disclosed vulnerability) - Fix status: Fix status unknown - First reported: 2026-06-22 - AI role: Attack on AI - Products: vLLM - CVE ids: CVE-2026-54232 - CVSS: 8.8 ## Summary A dependency confusion vulnerability in vLLM prior to version 0.22.1 allows attackers to execute arbitrary code during Docker image builds. Registration of a malicious package name on PyPI enables container image backdooring. ## What to do No action recorded; read the sources below and the vendor's advisory. ## Latest updates - 2026-06-22: CVE-2026-54232: vLLM is an inference and serving engine for large language models (LLMs). (https://nvd.nist.gov/vuln/detail/CVE-2026-54232) ## Sources - 2026-06-22 NVD: CVE-2026-54232: vLLM is an inference and serving engine for large language models (LLMs). https://nvd.nist.gov/vuln/detail/CVE-2026-54232 Verify against the vendor's advisory before changing production. Data CC BY-SA 4.0, https://gcdradar.vercel.app.
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AI