PT-2026-50472

Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.23.1rc0 Description Integer truncation of tensor dimensions in GGUF dequantize kernels within csrc/quantization/gguf/gguf kernel.cu leads to partial tensor processing. The output tensor is allocated at full size...

CVE-2026-6839

Improper validation of STRING tensor offsets could allows malformed string metadata to trigger out of bounds access during constant tensor import in Samsung Open Source ONE Affected version is prior to commit 1.30.0...

CVE-2026-49121

AI Tensor Engine for ROCm AITER through 0.1.14 contains an unauthenticated remote code execution vulnerability in the MessageQueue.recv function within shmbroadcast.py that allows unauthenticated remote attackers to execute arbitrary code by sending a malicious pickle payload to a ZMQ SUB socket...

CVE-2026-49121

CVE-2026-49121 affects AI Tensor Engine for ROCm (AITER) up to version 0.1.14. The vulnerability exists in the MessageQueue.recv() function in shm_broadcast.py, where an unauthenticated remote attacker can deliver a crafted pickle payload to a ZMQ SUB socket (no authentication, no HMAC, no format...

CVE-2026-49121 AI Tensor Engine for ROCm (AITER) 0.1.14 Unauthenticated RCE via MessageQueue.recv() Pickle Deserialization

AI Tensor Engine for ROCm AITER through 0.1.14 contains an unauthenticated remote code execution vulnerability in the MessageQueue.recv function within shmbroadcast.py that allows unauthenticated remote attackers to execute arbitrary code by sending a malicious pickle payload to a ZMQ SUB socket...

CVE-2026-49121: Deserialization of Untrusted Data

AI Tensor Engine for ROCm AITER through 0.1.14 contains an unauthenticated remote code execution vulnerability in the MessageQueue.recv function within shmbroadcast.py that allows unauthenticated remote attackers to execute arbitrary code by sending a malicious pickle payload to a ZMQ SUB socket...

swimtrack-poc

SwimTrack PoC This directory contains a proof of concept for...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

Linux Distros Unpatched Vulnerability : CVE-2026-42627

The Linux/Unix host has one or more packages installed that are impacted by a vulnerability without a vendor supplied patch available. - In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

DEBIAN-CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

UBUNTU-CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

CVE-2026-42627

Arm ArmNN versions prior to 2026-03-27 are vulnerable to an integer overflow in the TensorShape::GetNumElements() function within armnn/Tensor.cpp. This occurs because tensor dimensions are multiplied using 32-bit unsigned arithmetic without overflow detection, causing GetNumBytes() to return an ...

CVE-2026-42627

In Arm ArmNN through 2026-03-27, an integer overflow in TensorShape::GetNumElements in armnn/Tensor.cpp allows a crafted TFLite model file to bypass buffer size validation and trigger a heap-based buffer over-read during model optimization. The overflow occurs when multiplying tensor dimensions...

MAL-2026-4223 Malicious code in tensor-compute (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9a3d1b50077a6311a43061891fa560d2c180fbdbd12ab4965e0d265910e6ef68 [email protected] presents itself as a Rust-backed tensor library but is a dropper. setup.py registers a custom buildext command src/buildext.py...

Malicious code in tensor-compute (PyPI)

--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 9a3d1b50077a6311a43061891fa560d2c180fbdbd12ab4965e0d265910e6ef68 [email protected] presents itself as a Rust-backed tensor library but is a dropper. setup.py registers a custom buildext command src/buildext.py...

PYSEC-2026-145

vLLM is an inference and serving engine for large language models LLMs. From to before 0.20.0, the extracthiddenstates speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The crash ...

CVE-2026-44223 vLLM: extract_hidden_states speculative decoding crashes server on any request with penalty parameters

vLLM is an inference and serving engine for large language models LLMs. From 0.18.0 to before 0.20.0, the extracthiddenstates speculative decoding proposer in vLLM returns a tensor with an incorrect shape after the first decode step, causing a RuntimeError that crashes the EngineCore process. The...

Out-of-bounds Read

Overview Affected versions of this package are vulnerable to Out-of-bounds Read in the GGUF model loader. An attacker can access sensitive server memory contents, including environment variables, API keys, system prompts, and concurrent users' conversation data, by submitting a specially crafted...