AI / ML CVE-2025-62164
HIGH
GHSA-mrw7-hf4f-83pf
Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Primary rating from GitHub Advisory.
CVSS VectorGitHub Advisory
Lifecycle Timeline
3Blast Radius
ecosystem impact- 8 pypi packages depend on vllm (8 direct, 0 indirect)
Ecosystem-wide dependent count for version 0.10.2.
DescriptionGitHub Advisory
vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1.
AnalysisAI
vLLM is an inference and serving engine for large language models (LLMs). Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity.
Technical ContextAI
This vulnerability is classified under CWE-20. vLLM is an inference and serving engine for large language models (LLMs). From versions 0.10.2 to before 0.11.1, a memory corruption vulnerability could lead to a crash (denial-of-service) and potentially remote code execution (RCE), exists in the Completions API endpoint. When processing user-supplied prompt embeddings, the endpoint loads serialized tensors using torch.load() without sufficient validation. Due to a change introduced in PyTorch 2.8.0, sparse tensor integrity checks are disabled by default. As a result, maliciously crafted tensors can bypass internal bounds checks and trigger an out-of-bounds memory write during the call to to_dense(). This memory corruption can crash vLLM and potentially lead to code execution on the server hosting vLLM. This issue has been patched in version 0.11.1. Affected products include: Vllm. Version information: before 0.11.1.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Apply vendor patches when available. Implement network segmentation and monitoring as interim mitigations.
MCPJam Inspector versions 1.4.2 and earlier allow unauthenticated remote code execution through missing authentication i
A path traversal vulnerability exists in mlflow/mlflow version 2.15.1. Rated high severity (CVSS 7.5), this vulnerabilit
Code injection in Langflow CSV Agent node before 1.8.0. The node hardcodes allow_dangerous_code=True, enabling arbitrary
Langflow has a code injection vulnerability in the code component (EPSS 2.6%) enabling remote code execution through the
Sandbox escape in Enclave JavaScript sandbox before 2.11.1. Enclave is designed for safe AI agent code execution — the e
enclave-vm JavaScript sandbox (before 2.7.0) has a critical sandbox escape. When a tool invocation fails, a host-side Er
A remote code execution vulnerability in langchain-ai/langchain (CVSS 10.0). Risk factors: public PoC available. Vendor
n8n has a fifth critical RCE vulnerability (CVSS 9.9) in the Expression evaluator, enabling code execution through craft
Path traversal vulnerability in RAGFlow RAG engine version 0.23.1 allows unauthenticated attackers to read arbitrary fil
WeKnora LLM framework (before 0.2.5) allows authenticated users to inject MCP stdio commands that the server executes as
OS command injection in WeKnora from version 0.2.5 allows authenticated users to execute arbitrary system commands. CVSS
Shell command injection in Nuclio serverless framework before 1.15.20. PoC and patch available.
Same weakness CWE-20 – Improper Input Validation
View allVendor StatusVendor
SUSE
Severity: ImportantShare
External POC / Exploit Code
Leaving vuln.today