GHSA-79H2-Q768-FPXR TensorFlow segfault TFLite converter on per-channel quantized transposed convolutions

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, inputshape: self.kernel = self.addweight"kernel", 3, 3,...

Google TensorFlow input validation error vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google Inc. in the United States. Google TensorFlow suffers from an input validation error vulnerability that stems from a segmentation error in the converter and crashes the Python process when using a...

PT-2022-23126

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when converting transposed convolutions using per-channel weight...

CVE-2022-36027: Improper Input Validation

TensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. The fix will be...

Google TensorFlow security vulnerabilities

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google Inc. in the United States. Google TensorFlow suffers from a security vulnerability that stems from the fact that when tf.quantization.fakequantwithminmaxvarsperchannelgradient receives an input min o...

Google TensorFlow security vulnerabilities

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google Inc. in the United States. A security vulnerability exists in Google TensorFlow, which stems from the fact that when tf.quantization.fakequantwithminmaxvarsgradient receives non-scalar inputs min or...

JPEG-QUANTSMOOTH security vulnerability

jpeg-quantsmooth is a quantization coefficient-based JPEG artifact removal by the individual developer Ilya Kurdyukov in Russia. A security vulnerability exists in jpeg-quantsmooth in versions prior to commit 8879454, which stems from a floating point exception in /jpeg-quantsmooth/jpegqs+0x4f5d6...

Core dump when loading TFLite models with quantization in TensorFlow

Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...

GHSA-8WWM-6264-X792 Core dump when loading TFLite models with quantization in TensorFlow

Impact Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling...

Stack overflow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

CVE-2022-29212 Core dump when loading TFLite models with quantization in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

CVE-2022-29212 Core dump when loading TFLite models with quantization in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

CVE-2022-29212 Core dump when loading TFLite models with quantization in TensorFlow

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

CVE-2022-29212

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

CVE-2022-29212

TensorFlow vulnerability CVE-2022-29212 affects TFLite model loading due to quantization scale handling. During quantization, values can have a scale > 1, but code assumed sub-unit scaling; this triggers a TFLITE_CHECK_LT assertion when QuantizeMultiplierSmallerThanOneExp is used, causing a cr...

CVE-2022-29212

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could b...

PT-2022-19465

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.9.0 TensorFlow versions prior to 2.8.1 TensorFlow versions prior to 2.7.2 TensorFlow versions prior to 2.6.4 Description TensorFlow is an open source platform for machine learning. Certain TFLite models that were...

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-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...

PYSEC-2021-793

TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. For example. The issue stems from the fact that quantization.params is only valid if quantization.type is different that...