PT-2026-58762

Name of the Vulnerable Software and Affected Versions NVIDIA Triton Inference Server for Linux affected versions not specified Description An issue exists where an attacker can trigger an uncaught exception. This flaw is network exploitable and requires no authentication, which may lead to a deni...

PYSEC-2026-3064 SGLang: Reachable Assertion via  lora_path  in LoRAManager enables remote Denial of Dervice

A security vulnerability has been detected in SGLang 0.5.10.post1. Impacted is an unknown function of the file python/sglang/srt/lora/loramanager.py of the component Inference HTTP Endpoint. Such manipulation of the argument lorapath leads to reachable assertion. The attack can be launched...

PYSEC-2026-3060 Amazon SageMaker Python SDK is missing integrity verification in its Triton inference handler

Summary Amazon SageMaker Python SDK is an open-source library for training and deploying machine learning models on Amazon SageMaker. An issue exists where, under certain circumstances, the Triton inference handler deserializes model artifacts without performing integrity verification, allowing...

PYSEC-2026-3211 Type confusion leading to segfault in Tensorflow

Impact The implementation of shape inference for ConcatV2 can be used to trigger a denial of service attack via a segfault caused by a type confusion: python import tensorflow as tf @tf.function def test: y = tf.rawops.ConcatV2 values=1,2,3,4,5,6, axis = 0xb500005b return y test The axis argument...

Out of bounds read in Tensorflow

ImpactTensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK which is a no-op during production:ccif nodet.typeid != TFTUNSET int ix = inputidxi; DCHECKix nodet.argssize "input " i " should have an output " ix " but instead only has " nodet.argssize "...

PYSEC-2026-3249 Out of bounds read in Tensorflow

Impact TensorFlow's type inference can cause a heap OOB read as the bounds checking is done in a DCHECK which is a no-op during production: cc if nodet.typeid != TFTUNSET int ix = inputidxi; DCHECKix nodet.argssize "input " i " should have an output " ix " but instead only has " nodet.argssize "...

PYSEC-2026-3241 Crash when type cannot be specialized in Tensorflow

Impact Under certain scenarios, TensorFlow can fail to specialize a type during shape inference: cc void InferenceContext::PreInputInit const OpDef& opdef, const std::vector& inputtensors, const std::vector& inputtensorsasshapes const auto ret = fulltype::SpecializeTypeattrs, opdef;...

PYSEC-2026-3121 Out of bounds read in Tensorflow

Impact The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read: python import tensorflow as tf @tf.function def test: y = tf.rawops.ReverseSequence input = 'aaa','bbb', seqlengths = 1,1,1, seqdim = -10, batchdim = -...

PYSEC-2026-3159 Integer overflow in Tensorflow

Impact The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness: python import tensorflow as tf input = tf.constant1,1,dtype=tf.qint32 @tf.function def test: y = tf.rawops.Dequantize input=input, minrange=1.0, maxrange=10.0, mode='MINCOMBINED',...

PYSEC-2026-3113 Abort caused by allocating a vector that is too large in Tensorflow

Impact During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user: cc const auto numdims = Valueshapedim; std::vector dims; dims.reservenumdims; Patches We have patched the issue in GitHub commit 1361fb7e29449629e1df94d44e0427ebec8c83c7. T...

CVE-2026-54698 Hasura: Row-level authorization bypass on table computed fields

Hasura is an open-source product that provides users GraphQL or REST APIs. Prior to 2.49.2 and 2.45.5, a user can use a where clause on a table computed field returning SETOF sometable to infer row values that ought to be filtered for their role based on sometable's row-level permissions. While...

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...

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 ...

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...

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...

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...

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...

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...