2022 matches found
mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2025-12058 via keras (2.12.0rc0)
keras PYPI version 2.12.0rc0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - mlopspython-inference =67580760626172675.0.0, =757069802391466481559610331145 Source cves: CVE-2025-12058 Source advisory: OSV:PYSEC-2026-1487...
PYSEC-2026-2023 vLLM Tool Schema allows DoS via Malformed pattern and type Fields
Summary The vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference...
vLLM Tool Schema allows DoS via Malformed pattern and type Fields
SummaryThe vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference...
PYSEC-2026-1966 code injection vulnerability exists in the huggingface/text-generation-inference repository
A code injection vulnerability exists in the huggingface/text-generation-inference repository, specifically within the autodocs.yml workflow file. The vulnerability arises from the insecure handling of the github.headref user input, which is used to dynamically construct a command for installing ...
onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds
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From Regression to Prior-Aware Inference: Solving the ILWE Family in Randomness Leakage Attacks against ML-DSA
ML-DSA is a representative lattice-based signature scheme standardized by NIST. It relies on signing randomness and rejection sampling to ensure that released signatures are statistically independent of the secret key. Practical implementations, however, may leak partial information about this...
lazyllm-verl (0.3.2.dev1), londonaicentre-mesa-local (>=2.8.0, <=2.8.1) +1 more potentially affected by CVE-2026-55646 via vllm (>=0.22.0, <=0.23.0)
vllm PYPI version =0.22.0, =2.8.0, =2.1.3, =2.2.4 Source cves: CVE-2026-55646 Source advisory: SNYK:PYTHON-VLLM-17872258...
Regular Expression Denial of Service (ReDoS)
Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Regular Expression Denial of Service ReDoS via the structuredoutputs.regex parameter, which allows user-supplied regular expressions to be passed...
lazyllm-verl (0.3.2.dev1), londonaicentre-mesa-local (>=2.8.0, <=2.8.1) +1 more potentially affected by CVE-2026-55646 via vllm (>=0.22.0, <=0.23.0)
vllm PYPI version =0.22.0, =2.8.0, =2.1.3, =2.2.4 Source cves: CVE-2026-55646 Source advisory: OSV:PYSEC-2026-2305...
lazyllm-verl (0.3.2.dev1), londonaicentre-mesa-local (>=2.8.0, <=2.8.1) +1 more potentially affected by CVE-2026-55646 via vllm (>=0.22.0, <=0.23.0)
vllm PYPI version =0.22.0, =2.8.0, =2.1.3, =2.2.4 Source cves: CVE-2026-55646 Source advisory: MEND:CVE-2026-55646...
Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (ROCm)
Red Hat AI Inference Server 3.2.2 ROCm is now available. Red Hat® AI Inference Server...
Important: Red Hat Security Advisory: Red Hat AI Inference Server 3.2.2 (CUDA)
Red Hat AI Inference Server 3.2.2 CUDA is now available. Red Hat® AI Inference Server...
Important: Red Hat Security Advisory: Red Hat AI Inference Server Model Optimization Tools 3.2.2 (cuda)
Red Hat AI Inference Server Model Optimization Tools 3.2.2 cuda is now available. Red Hat® AI Inference Server Model Optimization Tools...
Out-of-bounds Read
Overview onnx is an Open Neural Network Exchange Affected versions of this package are vulnerable to Out-of-bounds Read through convPoolShapeInferenceopset19 in onnx/defs/nn/old.cc. An attacker can trigger the flaw by supplying a malformed convolution or pooling model that reaches the...
CVE-2026-14647 onnx onnxruntime old.cc convPoolShapeInference_opset19 out-of-bounds
A weakness has been identified in onnx up to 1.21.x. This vulnerability affects the function convPoolShapeInferenceopset19 of the file onnx/defs/nn/old.cc of the component onnxruntime. This manipulation causes out-of-bounds read. It is possible to initiate the attack remotely. The exploit has bee...
CVE-2026-14647
ONNX Runtime (onnxruntime) up to 1.21.x is affected by CVE-2026-14647 due to a weakness in convPoolShapeInference_opset19 in ONNX’s old.cc (onnx/defs/nn). The root cause is an out-of-bounds read introduced in this path, enabling remote exploitation. Public exploits exist per the description. Reme...
PT-2026-55726
Name of the Vulnerable Software and Affected Versions onnx versions prior to 1.22.0 Description A weakness in the onnxruntime component allows for a remote out-of-bounds read. This occurs within the convPoolShapeInference opset19 function located in the onnx/defs/nn/old.cc file. Recommendations...
mlopspython-inference (>=67580760626172675.0.0, <=757069802391466481559610331145) potentially affected by CVE-2026-12481 via keras (2.12.0rc0)
keras PYPI version 2.12.0rc0 is affected by a known vulnerability. The following packages have a transitive dependency on keras and may be impacted: - mlopspython-inference =67580760626172675.0.0, =757069802391466481559610331145 Source cves: CVE-2026-12481 Source advisory: OSV:GHSA-5GWJ-M78Q-7PQ3...
