CVE-2025-15537

A security vulnerability has been detected in Mapnik up to 4.2.0. This issue affects the function mapnik::dbffile::stringvalue of the file plugins/input/shape/dbfile.cpp. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit has been disclosed...

PT-2026-3385

A security vulnerability has been detected in Mapnik up to 4.2.0. This issue affects the function mapnik::dbf file::string value of the file plugins/input/shape/dbfile.cpp. Such manipulation leads to heap-based buffer overflow. The attack must be carried out locally. The exploit has been disclose...

CVE-2026-0897

CVE-2026-0897 affects Google Keras (3.0.0–3.13.0) via the HDF5 weight loading component. A crafted .keras archive containing a valid model.weights.h5 file with an extremely large dataset shape can trigger memory exhaustion and crash the Python interpreter, causing a Denial of Service. Some connec...

CVE-2021-33648

When performing the inference shape operation of Affine, Concat, MatMul, ArgMinMax, EmbeddingLookup, and Gather operators, if the input shape size is 0, it will access data outside of bounds of shape which allocated from heap buffers...

CVE-2021-33649

When performing the inference shape operation of the Transpose operator, if the value in the perm element is greater than or equal to the size of the inputshape, it will access data outside of bounds of inputshape which allocated from heap buffers...

CVE-2021-33654

When performing the initialization operation of the Split operator, if a dimension in the input shape is 0, it will cause a division by 0 exception...

CVE-2021-41216

TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for Transpose is vulnerable to a heap buffer overflow. This occurs whenever perm contains negative elements. The shape inference function does not validate that the indices in perm are al...

CVE-2021-41218

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for AllToAll can be made to execute a division by 0. This occurs whenever the splitcount argument is 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on...

CVE-2021-41215

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank and having 3 ...

CVE-2022-23572

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the DCHECK function however, DCHECK is a no-op in production builds and an assertion failure in debug builds. In the first cas...

CVE-2021-41214

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1,...

CVE-2021-41205

TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the QuantizeAndDequantizeV operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit ...

Unity Linux 20.1050e Security Update: kernel (UTSA-2025-991211)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-991211 advisory. In the Linux kernel, the following vulnerability has been resolved: HID: betop: check shape of output reports betopffinit only checks the total sum of the report...

CVE-2025-62372

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

CVE-2025-62372

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

CVE-2025-62372 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

CVE-2025-62372

CVE-2025-62372 affects vLLM (inference/serving engine). From version 0.5.5 up to before 0.11.1, passing multimodal embedding inputs with correct ndim but incorrect shape (e.g., wrong hidden dimension) can crash the engine when serving multimodal models, regardless of whether those inputs are supp...

CVE-2025-62372 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

CVE-2025-62372 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

vLLM is an inference and serving engine for large language models LLMs. From version 0.5.5 to before 0.11.1, users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether...

GHSA-PMQF-X6X8-P7QW vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

Summary Users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether the model is intended to support such inputs as defined in the Supported Models page. The issue has...