Unity Linux 20.1060e / 20.1070e Security Update: kernel (UTSA-2026-004086)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-004086 advisory. The flowdissector feature in the Linux kernel 4.3 through 5.x before 5.3.10 has a device tracking vulnerability, aka CID-55667441c84f. This occurs because the auto...

LoRA As Oracle

Backdoored and privacy-leaking deep neural networks pose a serious threat to the deployment of machine learning systems in security-critical settings. Existing defenses for backdoor detection and membership inference typically require access to clean reference models, extensive retraining, or...

Unity Linux 20.1050e / 20.1060e / 20.1070e Security Update: kernel (UTSA-2026-001603)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2026-001603 advisory. System software utilizing Lazy FP state restore technique on systems using Intel Core-based microprocessors may potentially allow a local process to infer data from...

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-2021-41216

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-2025-23335

NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker could cause an underflow by a specific model configuration and a specific input. A successful exploit of this vulnerability might lead to denial of service...

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 ...

CVE-2025-23328

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an out-of-bounds write through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23311

NVIDIA Triton Inference Server contains a vulnerability where an attacker could cause a stack overflow through specially crafted HTTP requests. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, or data tampering...

CVE-2025-23320

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause the shared memory limit to be exceeded by sending a very large request. A successful exploit of this vulnerability might lead to information disclosure...

CVE-2025-23331

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a memory allocation with excessive size value, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23322

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where multiple requests could cause a double free when a stream is cancelled before it is processed. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23317

NVIDIA Triton Inference Server contains a vulnerability in the HTTP server, where an attacker could start a reverse shell by sending a specially crafted HTTP request. A successful exploit of this vulnerability might lead to remote code execution, denial of service, data tampering, or information...

CVE-2025-23326

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through a specially crafted input. A successful exploit of this vulnerability might lead to denial of service...

CVE-2025-23327

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause an integer overflow through specially crafted inputs. A successful exploit of this vulnerability might lead to denial of service and data tampering...

CVE-2025-23318

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to code execution, denial of service, data tampering, and information disclosure...