9217 matches found
CVE-2021-29599 Division by zero in TFLite's implementation of `Split`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the Split TFLite operator is vulnerable to a division by zero errorhttps://github.com/tensorflow/tensorflow/blob/e2752089ef7ce9bcf3db0ec618ebd23ea119d0c7/tensorflow/lite/kernels/split.ccL63-L65. An attack...
CVE-2021-29599
TensorFlow: Split TFLite operator vulnerability due to division by zero when num_splits == 0. The issue affects the Split path in TensorFlow’s TFLite kernels; an attacker could craft a model triggering the fault. The fix is scheduled for TensorFlow 2.5.0, with cherry-picks to TF 2.4.2, 2.3.3, 2.2...
CVE-2021-29600 Division by zero in TFLite's implementation of `OneHot`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the OneHot TFLite operator is vulnerable to a division by zero errorhttps://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/onehot.ccL68-L72. An...
CVE-2021-29600
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the OneHot TFLite operator is vulnerable to a division by zero errorhttps://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/onehot.ccL68-L72. An...
CVE-2021-29600
Summary: CVE-2021-29600 concerns TensorFlow’s TFLite OneHot operator, where the division-by-zero arises from prefix_dim_size calculation when an indices dimension is 0. This is triggered by crafted models and affects multiple TensorFlow/TFLite release lines, with a fix planned for TensorFlow 2.5....
CVE-2021-29601
TensorFlow/TFLite concatentation is vulnerable to an integer overflow in the TFLite kernel used for concatenation. The issue arises because TFLite uses int for tensor dimensions while TensorFlow uses int64, allowing crafted inputs where a concatenation dimension overflows an int. Public details i...
CVE-2021-29601
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issuehttps://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.ccL70-L76. An...
CVE-2021-29601 Integer overflow in TFLite concatentation
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issuehttps://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.ccL70-L76. An...
CVE-2021-29602
The CVE-2021-29602 issue affects TensorFlow’s TFLite DepthwiseConv operator. The vulnerability is a division-by-zero in the DepthwiseConv implementation, triggered when input’s fourth dimension is 0. The root cause and affected code are documented in depthwise_conv.cc, and multiple advisories acr...
CVE-2021-29602 Division by zero in TFLite's implementation of `DepthwiseConv`
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero...
CVE-2021-29602
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero...
CVE-2021-29603 Heap OOB write in TFLite
TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of...
CVE-2021-29603
CVE-2021-29603 describes a heap out-of-bounds write in the TFLite ArgMin/ArgMax path of TensorFlow’s runtime. A specially crafted TFLite model can trigger the write when axis_value is not in [0, NumDimensions(input)], causing code to write past output_dims->data. Root cause: incorrect handling...
CVE-2021-29603
TensorFlow is an end-to-end open source platform for machine learning. A specially crafted TFLite model could trigger an OOB write on heap in the TFLite implementation of...
CVE-2021-29604
TensorFlow/TFLite hashtable lookup (HashtableLookup) is affected by a division-by-zero in hashtable_lookup.cc when the first dimension of values is 0. Root cause: num_rows derived from the 0th dimension leads to invalid division. Affected: TensorFlow/TFLite hashtable lookup; fix slated for Tensor...
CVE-2021-29604 Division by zero in TFLite's implementation of hashtable lookup
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero errorhttps://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtablelookup.ccL114-L115 ...
CVE-2021-29604
TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of hashtable lookup is vulnerable to a division by zero errorhttps://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/hashtablelookup.ccL114-L115 ...
CVE-2021-29605
CVE-2021-29605 is a TensorFlow/TFLite vulnerability where the TFLiteIntArray allocation path suffers an integer overflow. The function TfLiteIntArrayGetSizeInBytes(int size) can return a negative value when size is large, causing malloc to receive an invalid (potentially non-allocatable) size. Th...
CVE-2021-29605 Integer overflow in TFLite memory allocation
TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating TFLiteIntArrays is vulnerable to an integer overflow issuehttps://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.cL24-L27. An attacker can...
CVE-2021-29605
TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating TFLiteIntArrays is vulnerable to an integer overflow issuehttps://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.cL24-L27. An attacker can...