CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340 vLLM - Denial of Service via Unvalidated Multimodal Embeddings

vLLM versions = 0.10.2 and 0.13.0 are missing sparse tensor validation in multimodal embeddings processing. Because PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests with malformed negative or out-of-bounds tensor indices, when the...

CVE-2026-56340

vLLM versions >= 0.10.2 and

PT-2026-51172

Name of the Vulnerable Software and Affected Versions vLLM versions 0.10.2 through 0.12.x Description Multimodal embeddings processing lacks sparse tensor validation. Since PyTorch disables sparse tensor invariant checks by default, an attacker can submit crafted embedding requests containing...

CVE-2026-49121

A flaw was found in AI Tensor Engine for ROCm AITER. This vulnerability allows unauthenticated remote attackers to execute arbitrary code by sending a specially crafted data package, known as a pickle payload, to a ZeroMQ ZMQ subscriber socket. This exploitation is possible due to a lack of...

GHSA-X5MV-8WGW-29HG tract-nnef: integer overflow in NNEF `.dat` tensor parser yields an out-of-bounds read on model load

Component: tract-nnef nnef/src/tensors.rs::readtensor + tract-data data/src/tensor.rs - Affected versions: 0.21.16, 0.22.0–0.22.2, 0.23.0–0.23.1 — the dense DatLoader path was unguarded across all three release lines; patched in 0.21.16 / 0.22.2 / 0.23.1 - Class: CWE-190 integer overflow →...

Incorrect Conversion between Numeric Types

Overview vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs Affected versions of this package are vulnerable to Incorrect Conversion between Numeric Types in the ggmldequantize, ggmlmulmatveca8, ggmlmulmata8, and ggmlmoea8 functions when tensor dimensions are...

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...

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...