467 matches found
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...
NVIDIA Triton Inference Server security vulnerabilities
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...
PT-2023-8256 · Nvidia · Nvidia Triton Inference Server
Name of the Vulnerable Software and Affected Versions: NVIDIA Triton Inference Server affected versions not specified Description: The issue is related to errors in processing relative paths to directories during model loading in NVIDIA Triton Inference Server. This can allow a remote attacker to...
Security Bulletin: NVIDIA Triton Inference Server - December 2023
NVIDIA has released a software update for NVIDIA Triton Inference Server to address the issue disclosed in this bulletin. This issue affects only nondefault deployments that enable dynamic model loading through the model control APIs by using the command line option --model-control explicit...
BIT-MXNET-2022-24294
A regular expression used in Apache MXNet incubating is vulnerable to a potential denial-of-service by excessive resource consumption. The bug could be exploited when loading a model in Apache MXNet that has a specially crafted operator name that would cause the regular expression evaluation to u...
GHSA-8FXR-QFR9-P34W TorchServe Server-Side Request Forgery vulnerability
Impact Remote Server-Side Request Forgery SSRF Issue: TorchServe default configuration lacks proper input validation, enabling third parties to invoke remote HTTP download requests and write files to the disk. This issue could be taken advantage of to compromise the integrity of the system and...
Apache MXNet Resource Consumption
The vulnerability of the Apache MXNet software environment for training and deploying deep neural networks is related to an uncontrolled resource consumption during the loading of models with operator names. Exploiting this vulnerability could allow a malicious actor to cause service failures...
Apache MXNet security vulnerabilities
Apache MXNet is an open source deep learning software framework from the Apache Apache Foundation in the United States. It is used for training and deploying deep neural networks. A security vulnerability exists in Apache MXNet incubating versions prior to 1.9.1, which stems from the use of regul...
PT-2022-3914
Name of the Vulnerable Software and Affected Versions Apache MXNet versions prior to 1.9.1 Description A regular expression used in Apache MXNet is vulnerable to a potential denial-of-service by excessive resource consumption. The issue could be exploited when loading a model in Apache MXNet that...
GHSA-H22X-HM8G-RXPG Improper Restriction of XML External Entity Reference in Apache OpenNLP
When loading models or dictionaries that contain XML it is possible to perform an XXE attack, since Apache OpenNLP is a library, this only affects applications that load models or dictionaries from untrusted sources. The versions 1.5.0 to 1.5.3, 1.6.0, 1.7.0 to 1.7.2, 1.8.0 to 1.8.1 of Apache...
GHSA-H67M-XG8F-FXCF Deadlock in mutually recursive `tf.function` objects
Impact The code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive: python import tensorflow as tf @tf.function def fun1num: if num == 1: return printnum fun2num-1 @tf.function def fun2num: if num == 0: return printnum fun1num-1...
PYSEC-2021-820
TensorFlow is an open source platform for machine learning. In affected versions the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive. This occurs due to using a non-reentrant Lock Python object. Loading any model which...
PYSEC-2021-405
TensorFlow is an open source platform for machine learning. In affected versions the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive. This occurs due to using a non-reentrant Lock Python object. Loading any model which...
CVE-2021-41213
TensorFlow is an open source platform for machine learning. In affected versions the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive. This occurs due to using a non-reentrant Lock Python object. Loading any model which...
CVE-2021-41213
TensorFlow is an open source platform for machine learning. In affected versions the code behind tf.function API can be made to deadlock when two tf.function decorated Python functions are mutually recursive. This occurs due to using a non-reentrant Lock Python object. Loading any model which...
CVE-2020-26271
In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...
PT-2020-16394 · Google · Tensorflow
Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.5 TensorFlow versions prior to 2.0.4 TensorFlow versions prior to 2.1.3 TensorFlow versions prior to 2.2.2 TensorFlow versions prior to 2.3.2 TensorFlow versions prior to 2.4.0 Description: In affected versio...
CVE-2020-15211
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indice...
PYSEC-2020-291
In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indice...