641 matches found
GHSA-W6Q7-J642-7C25 vLLM has a Regular Expression Denial of Service (ReDoS, Exponential Complexity) Vulnerability in `pythonic_tool_parser.py`
Summary A Regular Expression Denial of Service ReDoS vulnerability exists in the file vllm/entrypoints/openai/toolparsers/pythonictoolparser.py of the vLLM project. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an...
vLLM has a Regular Expression Denial of Service (ReDoS, Exponential Complexity) Vulnerability in `pythonic_tool_parser.py`
Summary A Regular Expression Denial of Service ReDoS vulnerability exists in the file vllm/entrypoints/openai/toolparsers/pythonictoolparser.py of the vLLM project. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an...
PT-2025-23135 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions prior to 0.9.0 Description: The issue arises from the prefix caching mechanism in vLLM, which may expose the system to a timing side-channel attack. When a new prompt is processed, if the PageAttention mechanism finds a matching...
PT-2025-23228
Name of the Vulnerable Software and Affected Versions vLLM versions 0.8.0 through 0.9.0 Description The vLLM backend used with the "/v1/chat/completions" API endpoint fails to validate unexpected or malformed input in the pattern and type fields when the tools functionality is invoked. These inpu...
PT-2025-23227 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions 0.8.0 through 0.8.x Description: The issue is a Denial of Service ReDoS that causes the vLLM server to crash if an invalid regex is provided while using structured output. This is similar to a previously identified issue, but it...
PT-2025-23136 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions 0.7.0 through 0.8.x Description: The issue concerns a security and data integrity problem in the image hashing method of the MultiModalHasher class. Specifically, the method serializes PIL.Image.Image objects using only...
PT-2025-23224 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions 0.6.4 through 0.9.0 Description: The issue is a Regular Expression Denial of Service ReDoS vulnerability in the file vllm/entrypoints/openai/tool parsers/pythonic tool parser.py. The root cause is the use of a highly complex and...
PT-2025-23226 · Vllm · Vllm
Name of the Vulnerable Software and Affected Versions: vLLM versions 0.8.0 through 0.9.0 Description: The issue arises when the /v1/completions API endpoint is hit with an invalid json schema as a Guided Param, causing the vLLM server to crash. This is similar to a previously known issue but...
Remote Code Execution (RCE)
vllm is vulnerable to Remote Code Execution RCE. The vulnerability is due to improper socket binding in the TCPStore and PyNcclPipe services listening on all network interfaces, potentially allowing unauthorized access to control message channels...
CVE-2025-47277
vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...
Deserialization of Untrusted Data
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Deserialization of Untrusted Data through the PyNcclPipe service if it is in use with the V0 engine. An attacker can execute arbitrary code on the...
GHSA-HJQ4-87XH-G4FV vLLM Allows Remote Code Execution via PyNcclPipe Communication Service
Impacted Environments This issue ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. Summary vLLM supports the use of the PyNcclPipe class to establish a peer-to-peer communication domain for data transmission...
vLLM Allows Remote Code Execution via PyNcclPipe Communication Service
Impacted Environments This issue ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. Summary vLLM supports the use of the PyNcclPipe class to establish a peer-to-peer communication domain for data transmission...
CVE-2025-47277 vLLM Allows Remote Code Execution via PyNcclPipe Communication Service
vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...
CVE-2025-47277
vLLM (versions 0.6.5–0.8.4) is affected only when using the PyNcclPipe KV cache transfer integration with the V0 engine. The issue stems from the PyTorch TCPStore binding defaulting to ALL interfaces; a workaround constrained the store to a private interface, and as of version 0.8.5 vLLM now bind...
CVE-2025-47277 vLLM Allows Remote Code Execution via PyNcclPipe Communication Service
vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...
CVE-2025-47277 vLLM Allows Remote Code Execution via PyNcclPipe Communication Service
vLLM, an inference and serving engine for large language models LLMs, has an issue in versions 0.6.5 through 0.8.4 that ONLY impacts environments using the PyNcclPipe KV cache transfer integration with the V0 engine. No other configurations are affected. vLLM supports the use of...
Denial Of Service (DoS)
vllm is vulnerable to a Denial Of Service DoS. The vulnerability is due to inefficient list concatenation operations and also dynamic replacement of placeholder tokens with repeated tokens based on precomputed lengths, allowing an attacker to trigger resource exhaustion by exploiting the quadrati...
Remote Code Execution (RCE)
vllm is vulnerable to Remote Code Execution RCE. The vulnerability is due to the use of Python’s pickle module on untrusted data received over a ZeroMQ SUB socket in multi-node deployments using the V0 engine, which allows an attacker to execute arbitrary code on the target machine and potentiall...
CVE-2025-30165
A flaw was found in vLLM's multi-node configuration, which is vulnerable to remote code execution due to unsafe deserialization using pickle over a ZeroMQ SUB socket. If the primary vLLM host is compromised, attackers can escalate privileges and execute arbitrary code on connected secondary hosts...