CVE-2022-23557

Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation. There is no check that the biassize is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google Tensorflow is vulnerable to a buffer overflow vulnerability that could be exploited by an attacker to build a TFLite model that allows limited reads and writes to the outside of arrays in TFLit...

PT-2022-16076 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions 2.5.3 through 2.7.1 TensorFlow version 2.8.0 is not affected, as it includes the fix. Description: An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits...

PT-2022-16077 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions prior to 2.7.1 TensorFlow versions prior to 2.6.3 TensorFlow versions prior to 2.5.3 Description: An attacker can craft a TFLite model to cause a write outside the bounds of an array in...

Google Tensorflow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google Tensorflow is vulnerable to an input validation error that could be exploited by an attacker to build a TFLite model that leads to an integer overflow in the embedding lookup operation...

Google TensorFlow 缓冲区错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google Tensorflow is vulnerable to a buffer overflow vulnerability that could be exploited by an attacker to build a TFLite model that would result in a write operation outside of the array boundaries i...

PT-2022-16072 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected Description: An attacker can craft a TFLite model that would trigger a division by zero in the BiasAndClamp implementation. There is no check tha...

PT-2022-16073 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description: An attacker can craft a TFLite model that would cause an integer overflow in...

PYSEC-2022-65

Tensorflow is an Open Source Machine Learning Framework. Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to...

PYSEC-2022-120

Tensorflow is an Open Source Machine Learning Framework. Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to...

PYSEC-2022-120

Tensorflow is an Open Source Machine Learning Framework. Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to...

Google TensorFlow 数字错误漏洞

TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google TensorFlow is vulnerable to a numeric error vulnerability that could be exploited by an attacker to craft a TFLite model that would trigger a division by zero in a deep convolutional implementation...

PT-2022-15082 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected Description: An attacker can craft a TFLite model to trigger a division by zero in the implementation of depthwise convolutions. The parameters o...

GHSA-CFPJ-3Q4C-JHVR Division by zero in TFLite

Impact The implementation of fully connected layers in TFLite is vulnerable to a division by zero error: cc const int batchsize = inputsize / filter-dims-data1; An attacker can craft a model such that filter-dims-data1 is 0. Patches We have patched the issue in GitHub commit...

GHSA-7XWJ-5R4V-429P NPE in TFLite

Impact The implementation of SVDF in TFLite is vulnerable to a null pointer error: cc TfLiteTensor state = GetVariableInputcontext, node, kStateTensor; // ... GetTensorDatastate The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid...

GHSA-4C4G-CRQM-XRXW Use of unitialized value in TFLite

Impact All TFLite operations that use quantization can be made to use unitialized values. For example: cc const auto affinequantization = reinterpretcast filter-quantization.params; The issue stems from the fact that quantization.params is only valid if quantization.type is different that...

GHSA-Q7F7-544H-67H9 FPE in TFLite pooling operations

Impact The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. Patches We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. The fix will be included in TensorFlow 2.6.0. We will also cherrypic...

GHSA-C545-C4F9-RF6V Heap OOB in TFLite

Impact TFLite's expanddims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data: cc if axis size; ++i if i datai = inputdims.datai; else if i == axis outputdims-datai = 1; else outputdims-datai = inputdims.datai - 1; If axis is a large negative val...

GHSA-JWF9-W5XM-F437 Heap OOB in TFLite's `Gather*` implementations

Impact TFLite's GatherNd implementation does not support negative indices but there are no checks for this situation. Hence, an attacker can read arbitrary data from the heap by carefully crafting a model with negative values in indices. Similar issue exists in Gather implementation. python impor...

GHSA-VCJJ-9VG7-VF68 Null pointer dereference in TFLite

Impact An attacker can craft a TFLite model that would trigger a null pointer dereference, which would result in a crash and denial of service: python import tensorflow as tf model = tf.keras.models.Sequential model.addtf.keras.Inputshape=1, 2, 3 model.addtf.keras.layers.Dense0, activation='relu'...