863 matches found
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 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...
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...
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...
PT-2025-47649
Name of the Vulnerable Software and Affected Versions vLLM versions 0.5.5 through 0.11.0 Description vLLM is an inference and serving engine for large language models LLMs. Users can cause the vLLM engine to crash when serving multimodal models by providing multimodal embedding inputs with a...
EUVD-2017-18927
UCanCode E-XD++ Visualization Enterprise Suite contains an untrusted pointer dereference vulnerability via the TKDRAWCAD.TKDrawCADCtrl.1 ActiveX control. This is because it exposes a RotateShape method that dereferences a user-supplied pointer without sufficient validation. A crafted input may...
CVE-2017-20211
UCanCode E-XD++ Visualization Enterprise Suite contains an untrusted pointer dereference vulnerability via the TKDRAWCAD.TKDrawCADCtrl.1 ActiveX control. This is because it exposes a RotateShape method that dereferences a user-supplied pointer without sufficient validation. A crafted input may...
CVE-2017-20211 UCanCode E-XD++ Visualization Enterprise Suite Untrusted Pointer Dereference RCE
UCanCode E-XD++ Visualization Enterprise Suite contains an untrusted pointer dereference vulnerability via the TKDRAWCAD.TKDrawCADCtrl.1 ActiveX control. This is because it exposes a RotateShape method that dereferences a user-supplied pointer without sufficient validation. A crafted input may...
CVE-2017-20211
CVE-2017-20211 affects UCanCode E-XD++ Visualization Enterprise Suite via the TKDRAWCAD.TKDrawCADCtrl.1 ActiveX control. The RotateShape method dereferences a user-supplied pointer without sufficient validation, enabling remote code execution in the hosting process after user interaction (instant...