CVE-2021-29605

TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating "TFLiteIntArray"s is vulnerable to an integer overflow issuehttps://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.cL24-L27. An attacker c...

CVE-2021-29606 Heap OOB read in TFLite

TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of...

CVE-2021-29606

CVE-2021-29606 is a TensorFlow/TFLite issue: a specially crafted TFLite model can trigger a heap-based out-of-bounds read in the Split_V operator when axis_value is outside [0, NumDimensions(input)]. The root cause is SizeOfDimension dereferencing an out-of-bounds index in the tensor shape array....

CVE-2021-29606

TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of...

PT-2021-18357 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: A specially crafted TFLite model could...

PT-2021-18337 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: Optimized pooling implementations in TFLit...

PT-2021-18347 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The implementation of the EmbeddingLookup...

PT-2021-18349 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4 are also affected Description: The implementation of the SVDF TFLite operator in TensorFlow is vulnerable to a division by zero error. An attacker can craft...

PT-2021-18352 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2, 2.3.3, 2.2.3, and 2.1.4 are also affected Description: The TFLite implementation of concatenation is vulnerable to an integer overflow issue. An attacker can craft a model such tha...

PT-2021-18353 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The implementation of the DepthwiseConv...

PT-2021-18354 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: A specially crafted TFLite model could...

PT-2021-18344 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier Description: The implementation of the BatchToSpaceNd...

PT-2021-18340 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: The reference implementation of the GatherNd TFLite operator is vulnerable to a division by ze...

CVE-2021-29585: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The TFLite computation for size of output after padding, ComputeOutSizehttps://github.com/tensorflow/tensorflow/blob/0c9692ae7b1671c983569e5d3de5565843d500cf/tensorflow/lite/kernels/padding.hL43-L55, does not check that the...

CVE-2021-29586: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. Optimized pooling implementations in TFLite fail to check that the stride arguments are not 0 before calling...

CVE-2021-29587: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The Prepare step of the SpaceToDepth TFLite operator does not check for 0 before divisionhttps://github.com/tensorflow/tensorflow/blob/5f7975d09eac0f10ed8a17dbb6f5964977725adc/tensorflow/lite/kernels/spacetodepth.ccL63-L67. An...

CVE-2021-29588: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The optimized implementation of the TransposeConv TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that strideh,w values are 0. Code calling this function must validate these...

CVE-2021-29589: Divide By Zero

TensorFlow is an end-to-end open source platform for machine learning. The reference implementation of the GatherNd TFLite operator is vulnerable to a division by zero...

CVE-2021-29590: Out-of-bounds Read

TensorFlow is an end-to-end open source platform for machine learning. The implementations of the Minimum and Maximum TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting...

CVE-2021-29591: Loop with Unreachable Exit Condition

TensorFlow is an end-to-end open source platform for machine learning. TFlite graphs must not have loops between nodes. However, this condition was not checked and an attacker could craft models that would result in infinite loop during evaluation. In certain cases, the infinite loop would be...