CVE-2021-37669

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.rawops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a...

CVE-2021-37673

TensorFlow maps-stage DoS (CVE-2021-37673). The issue arises from tf.raw_ops.MapStage not validating non-empty key tensors, enabling a local attacker to trigger a denial-of-service via a CHECK-fail. Patches were committed and the fix is expected in TensorFlow 2.6.0, with backports to 2.5.1, 2.4.3...

CVE-2021-37673 `CHECK`-fail in `MapStage` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a CHECK-fail in tf.rawops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub...

CVE-2021-37663 Incomplete validation in `QuantizeV2` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.rawops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. Th...

CVE-2021-37663

CVE-2021-37663 arises from incomplete validation in tf.raw_ops.QuantizeV2 in TensorFlow. Affected: TensorFlow versions before 2.6.0 (patch committed 6da6620...). The issue can trigger undefined behavior via binding a null pointer or out-of-bounds access; if axis is provided, min_range/max_range l...

CVE-2021-37663

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.rawops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. Th...

CVE-2021-37682

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...

CVE-2021-37682 Use of unitialized value in TensorFlow Lite

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...

CVE-2021-37682

CVE-2021-37682 concerns TensorFlow/TFLite quantization paths where quantization.params may be used without validating quantization.type, allowing potential use of uninitialized values in affected TFLite operations. Connected sources confirm the root cause (missing checks in depthwise conv quantiz...

CVE-2021-37674

Summary (CVE-2021-37674) TensorFlow’s tf.raw_ops.MaxPoolGrad had insufficient validation for orig_input/orig_output, enabling a local attacker to trigger a denial-of-service via a segmentation fault. The issue is tied to CVE-2021-29579 and is addressed by patch 136b51f10903e044308cf77117c0ed98713...

CVE-2021-37674

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.rawops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the originput and origoutput tensor...

CVE-2021-37674 Incomplete validation in `MaxPoolGrad` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in tf.rawops.MaxPoolGrad caused by missing validation. The implementation misses some validation for the originput and origoutput tensor...

CVE-2021-37665 Incomplete validation in MKL requantization in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37665

CVE-2021-37665 : TensorFlow vulnerable due to incomplete validation in MKL requantization (range per-channel and per-channel ops). The root cause is insufficient validation of input dimensions/arguments, allowing undefined behavior (binding a null pointer, heap out-of-bounds access). A patch was ...

CVE-2021-37665

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

CVE-2021-37677 Missing validation in shape inference for `Dequantize` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37677

CVE-2021-37677 describes a vulnerability in TensorFlow where the shape inference for tf.raw_ops.Dequantize can segfault and cause a denial of service if invalid arguments are provided. The root cause is missing validation of the axis value used to compute minmax_rank in the shape inference code. ...

CVE-2021-37683

TensorFlow (TFLite division) vulnerability (CVE-2021-37683): In affected builds, division in TFLite can produce a division-by-zero error because there is no check that the divisor tensor contains zero. The issue was addressed in commit 1e206baedf8bef0334cca3eb92bab134ef525a28 and the fix is plann...

CVE-2021-37683 Division by zero in TensorFlow Lite division operations

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...