CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29536 – Heap buffer overflow in `QuantizedReshape`
https://notcve.org/view.php?id=CVE-2021-29536
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedReshape` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a324ac84e573fba362a5e53d4e74d5de6729933e/tensorflow/core/kernels/quantized_reshape_op.cc#L38-L55) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/a324ac84e573fba362a5e53d4e74d5de6729933e https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2gfx-95x2-5v3x • CWE-131: Incorrect Calculation of Buffer Size CWE-787: Out-of-bounds Write •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29537 – Heap buffer overflow in `QuantizedResizeBilinear`
https://notcve.org/view.php?id=CVE-2021-29537
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedResizeBilinear` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/50711818d2e61ccce012591eeb4fdf93a8496726/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L705-L706) assumes that the 2 arguments are always valid scalars and tries to access the numeric value directly. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. • https://github.com/tensorflow/tensorflow/commit/f6c40f0c6cbf00d46c7717a26419f2062f2f8694 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8c89-2vwr-chcq • CWE-131: Incorrect Calculation of Buffer Size CWE-787: Out-of-bounds Write •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29538 – Division by zero in `Conv2DBackpropFilter`
https://notcve.org/view.php?id=CVE-2021-29538
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a division by zero to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L513-L522) computes a divisor based on user provided data (i.e., the shape of the tensors given as arguments). If all shapes are empty then `work_unit_size` is 0. Since there is no check for this case before division, this results in a runtime exception, with potential to be abused for a denial of service. • https://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qc-5fqr-52fp • CWE-369: Divide By Zero •
CVSS: 5.5EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29539 – Segfault in tf.raw_ops.ImmutableConst
https://notcve.org/view.php?id=CVE-2021-29539
TensorFlow is an end-to-end open source platform for machine learning. Calling `tf.raw_ops.ImmutableConst`(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a `dtype` of `tf.resource` or `tf.variant` results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using `tf.raw_ops.ImmutableConst` in code, you can prevent the segfault by inserting a filter for the `dtype` argument. • https://github.com/tensorflow/tensorflow/commit/4f663d4b8f0bec1b48da6fa091a7d29609980fa4 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-g4h2-gqm3-c9wq • CWE-681: Incorrect Conversion between Numeric Types •
CVSS: 7.8EPSS: 0%CPEs: 4EXPL: 1CVE-2021-29540 – Heap buffer overflow in `Conv2DBackpropFilter`
https://notcve.org/view.php?id=CVE-2021-29540
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow to occur in `Conv2DBackpropFilter`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/1b0296c3b8dd9bd948f924aa8cd62f87dbb7c3da/tensorflow/core/kernels/conv_grad_filter_ops.cc#L495-L497) computes the size of the filter tensor but does not validate that it matches the number of elements in `filter_sizes`. Later, when reading/writing to this buffer, code uses the value computed here, instead of the number of elements in the tensor. The fix will be included in TensorFlow 2.5.0. • https://github.com/tensorflow/tensorflow/commit/c570e2ecfc822941335ad48f6e10df4e21f11c96 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xgc3-m89p-vr3x • CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') CWE-787: Out-of-bounds Write •