Division By Zero Error

TensorFlow is vulnerable to Division By Zero Error. The vulnerability is due to the SVDF TFLite operator does not properly handle cases where params-rank is set to 0, allowing an attacker to craft a model that triggers a division by zero error...

Uncontrolled Recursion

TensorFlow is vulnerable to an Uncontrolled Recursion vulnerability. The vulnerability is due to the failure to check for loops between nodes in TFLite graphs, allowing an attacker to craft models that could cause infinite loops or stack overflow during evaluation...

Null Pointer Dereference

TensorFlow is vulnerable to a null pointer dereference. The vulnerability exists due to unconditionally dereferencing a pointer in the TFLite model, allowing an attacker to craft a TFLite model that triggers this dereference. It leads to crash the system and cause a denial of service...

Divide By Zero

tensorflow is vulnerable to Divide By Zero. The vulnerability is caused due to a defect in the implementation of BatchToSpaceNd where TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0 resulting in the...

Out-of-bounds Write

tensorflow, tensorflowcpu and tensorflowgpu are vulnerable to Out-of-bounds Write. The vulnerability is caused due to a missing validation. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of ArgMin/ArgMax'...

Out-Of-Bounds Writes

TensorFlow is vulnerable to out-of-bounds writes. The vulnerability is due to the improper handling of negative elements in the segment ids tensor, allowing negative values that result in out-of-bounds memory writes during the segment sum operation...

Divide By Zero

tensorflow is vulnerable to Divide By Zero. The vulnerability is caused due to the Prepare step of the SpaceToDepth TFLite operator does not check for 0 before division. An attacker can craft a model such that params-blocksize would be zero and potentially leads to DoS...

Divide By Zero

tensorflow is vulnerable to Divide By Zero. The vulnerability is caused due to a defect in the optimized implementation of the TransposeConv TFLite operator where there is a missing validation for strideh,w variable. An attacker can craft a model such that strideh,w values are 0 resulting in Divi...

Out-of-bounds Write

tensorflow, tensorflow-cpu and tensorflowgpu is vulnerable to Out-of-bounds Write. The vulnerability is due to improper handling of tensors when a model uses the same tensor for both an input and output of an operator, which can result in data loss and memory corruption...

a2grunnerp (>=0.1.0 <=0.1.8), abba-python (>=0.1.6 <=0.3.0) +712 more potentially affected by CVE-2023-33976 via tensorflow (>=1.0.1 <=2.12.0rc1)

tensorflow PYPI version =1.0.1, =0.1.0, =0.1.6, =0.1.0, =1.1.2, =0.0.1, =0.3.26, =1.1.0, =1.8.15, =1.8.17, =0.0.1, =0.1.18, =1.8.14, =2.2.0 and more Source cves: CVE-2023-33976 Source advisory: OSV:GHSA-GJH7-XX4R-X345...

GHSA-GJH7-XX4R-X345 TensorFlow has segfault in array_ops.upper_bound

Impact arrayops.upperbound causes a segfault when not given a rank 2 tensor. Patches We have patched the issue in GitHub commit 915884fdf5df34aaedd00fc6ace33a2cfdefa586. The fix will be included in TensorFlow 2.13. We will also cherrypick this commit in TensorFlow 2.12.1. For more information...

PT-2024-12453

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.13 TensorFlow versions 2.12 and earlier Description The issue is caused by array ops.upper bound when not given a rank 2 tensor, resulting in a segfault. The estimated number of potentially affected devices...

TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation

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CVE-2023-25675 affecting package tensorflow for versions less than 2.11.1-1

CVE-2023-25675 affecting package tensorflow for versions less than 2.11.1-1. A patched version of the package is available...

AZL-37878 CVE-2023-27533 affecting package tensorflow for versions less than 2.16.1-1

A vulnerability in input validation exists in curl 8.0 during communication using the TELNET protocol may allow an attacker to pass on maliciously crafted user name and "telnet options" during server negotiation. The lack of proper input scrubbing allows an attacker to send content or perform...

AZL-38476 CVE-2023-27536 affecting package tensorflow for versions less than 2.16.1-1

An authentication bypass vulnerability exists libcurl 8.0.0 in the connection reuse feature which can reuse previously established connections with incorrect user permissions due to a failure to check for changes in the CURLOPTGSSAPIDELEGATION option. This vulnerability affects...

SUSE CVE-2023-25661

TensorFlow is an Open Source Machine Learning Framework. In versions prior to 2.11.1 a malicious invalid input crashes a tensorflow model Check Failed and can be used to trigger a denial of service attack. A proof of concept can be constructed with the Convolution3DTranspose function. This...

SUSE CVE-2023-25663

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when ctx-stepcontainter is a null ptr, the Lookup function will be executed with a null pointer. A fix is included in TensorFlow 2.12.0 and 2.11.1...

SUSE CVE-2023-25658

TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, an out of bounds read is in GRUBlockCellGrad. A fix is included in TensorFlow 2.12.0 and 2.11.1...

SUSE CVE-2023-25671

TensorFlow is an open source platform for machine learning. There is out-of-bounds access due to mismatched integer type sizes. A fix is included in TensorFlow version 2.12.0 and version 2.11.1...