Google Tensorflow Resource Management Error Vulnerability (CNVD-2022-09860)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow suffers from a resource management error vulnerability that stems from the GraphDef format in TensorFlow not allowing self-recursive functions. No detailed vulnerability detail...

Google Tensorflow has an unspecified vulnerability (CNVD-2022-09891)

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a security vulnerability that could be exploited by an attacker to cause a denial of service by changing SavedModel...

Google Tensorflow Buffer Overflow Vulnerability (CNVD-2022-09888)

Google TensorFlow is a set of end-to-end open source platform for machine learning from Google Google Inc. Google TensorFlow has a buffer overflow vulnerability, which stems from the fact that TensorFlow is vulnerable to heap OOB write attacks in er. No detailed vulnerability details are currentl...

Google Tensorflow has an unspecified vulnerability (CNVD-2022-09886)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A security vulnerability exists in Google Tensorflow, which stems from an implementation of AssignOp that can lead to copying uninitialized data to a new tensor. No detailed vulnerability details are...

Unspecified Vulnerability in Google Tensorflow (CNVD-2022-09861)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. Google TensorFlow has a security vulnerability that can be exploited by an attacker to cause a denial of service by modifying SavedModel...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. The vulnerability exists due to a lack of sanitization of the DCHECK is a no-op in production builds, and an assertion failure in debug builds allowing an attacker to crash the system...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. An attacker can send a malicious input which alters a SavedModel such that SafeToRemoveIdentity, triggering CHECK failures...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. Integer overflows caused by Range can trigger undefined behavior or, in some scenarios, extremely large allocations...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. The vulnerability exists due to a infinite recursive functions when loading a SavedModel...

Integer Overflow

Tensorflow is vulnerable to integer overflows. The vulnerability exists due to a lack of input sanitization in the TfLiteIntArrayGetSizeInBytes function of the common.c file doesn't control inputs which allows an attacker to craft a TFLite model causing an application crash...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker may exploit the vulnerability by maliciously altering a SavedModel file causing a Null pointer dereference...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker may exploit the vulnerability by inputting a large value to numdim causing the system to crash by allocating a large vector based on that value...

Out-of-Bounds Access

Tensorflow is vulnerable to out of bound access. The vulnerability exists due to a typo in TensorFlow's SpecializeType in which arg is initialized to the ith mutable argument in a loop where the loop index is j...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. The vulnerability exists due to an undefined behavior during the implementation of AssignOp which can result in uninitialized data being copied to a new tensor...

Remote Code Execution (RCE)

Tensorflow is vulnerable to remote code execution. The vulnerability exists due to a heap OOB write in Grappler allowing an attacker to use the setoutput function to writes to an array at the specified index...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker may exploit the vulnerability by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker may exploit the vulnerability by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker is able to crash the system by altering a SavedModel in Grappler optimizer such that IsSimplifiableReshape would trigger CHECK failures...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. The vulnerability exists due to a lack of santization of the CHECK assertion in shapeinference.cc file allowing an attacker to crash the system by injecting invalid dtype, 0 elements or an invalid shape...

Denial Of Service (DoS)

Tensorflow is vulnerable to denial of service. An attacker is able to crash the system by altering a SavedModel such that assertions in function.cc would be falsified and crash the Python interpreter...