BIT-TENSORFLOW-2021-41211 Heap OOB read in shape inference for `QuantizeV2`

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for QuantizeV2 can trigger a read outside of bounds of heap allocated array. This occurs whenever axis is a negative value less than -1. In this case, we are accessing data before the start o...

BIT-TENSORFLOW-2021-41212 Heap OOB read in `tf.ragged.cross`

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross 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 on TensorFlow 2.6.1,...

BIT-TENSORFLOW-2021-41214 Reference binding to `nullptr` in `tf.ragged.cross`

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,...

BIT-TENSORFLOW-2021-41215 Null pointer exception in `DeserializeSparse`

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 ...

BIT-TENSORFLOW-2021-41216 Heap buffer overflow in `Transpose`

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...

BIT-TENSORFLOW-2021-41218 Integer division by 0 in `tf.raw_ops.AllToAll`

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...

BIT-TENSORFLOW-2021-41221 Access to invalid memory during shape inference in `Cudnn*` ops

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the Cudnn operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the input, inputh and inputc parameters are n...

BIT-TENSORFLOW-2022-21727 Integer overflow in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for Dequantize is vulnerable to an integer overflow weakness. The axis argument can be -1 the default value for the optional argument or any other positive value at most the number of dimensions of the...

BIT-TENSORFLOW-2022-21728 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for ReverseSequence does not fully validate the value of batchdim and can result in a heap OOB read. There is a check to make sure the value of batchdim does not go over the rank of the input, but there...

BIT-TENSORFLOW-2022-23572 Crash when type cannot be specialized in Tensorflow

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...

BIT-TENSORFLOW-2022-23580 Abort caused by allocating a vector that is too large in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, a...

BIT-TENSORFLOW-2022-23592 Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. TensorFlow's type inference can cause a heap out of bounds read as the bounds checking is done in a DCHECK which is a no-op during production. An attacker can control the inputidx variable such that ix would be larger than the number of...

NVIDIA Triton Inference Server Directory Traversal Vulnerability

NVIDIA Triton Inference Server is an open source software from NVIDIA that helps standardize model deployment and deliver fast and scalable AI in production. NVIDIA Triton Inference Server suffers from a directory traversal vulnerability that stems from when started explicitly with the non-defaul...

NVIDIA Triton Inference Server Code Execution

The vulnerability of the NVIDIA Triton Inference Server previously known as TensorRT Inference Server software for deploying and executing artificial intelligence models is related to errors in processing the relative path to the catalog during model loading. Exploiting this vulnerability can all...

CVE-2023-31036

creationtimestamp| type| source ---|---|--- 2024-01-12 18:52:06+00:00| seen| https://t.me/ctinow/167437 2024-02-02 21:46:50+00:00| seen| https://t.me/ctinow/178283 2024-05-17 14:18:43+00:00| published-proof-of-concept|...

CVE-2023-31036

NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where, when it is launched with the non-default command line option --model-control explicit, an attacker may use the model load API to cause a relative path traversal. A successful exploit of this vulnerability may lea...

CVE-2023-31036

NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where, when it is launched with the non-default command line option --model-control explicit, an attacker may use the model load API to cause a relative path traversal. A successful exploit of this vulnerability may lea...

Path traversal

NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where, when it is launched with the non-default command line option --model-control explicit, an attacker may use the model load API to cause a relative path traversal. A successful exploit of this vulnerability may lea...

CVE-2023-31036

NVIDIA Triton Inference Server (Linux/Windows) is affected when started with the non-default --model-control explicit option. The model load API can trigger relative path traversal in this mode, potentially enabling code execution, DoS, privilege escalation, information disclosure, and data tampe...

CVE-2023-31036

NVIDIA Triton Inference Server for Linux and Windows contains a vulnerability where, when it is launched with the non-default command line option --model-control explicit, an attacker may use the model load API to cause a relative path traversal. A successful exploit of this vulnerability may lea...