CVE-2022-36003 `CHECK` fail in `RandomPoissonV2` in TensorFlow

TensorFlow is an open source platform for machine learning. When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 552bfced6ce4809db5f3ca305f60ff80dd40c5a3. The fix will be included i...

TensorFlow vulnerable to `CHECK` fail in `DrawBoundingBoxes`

Impact When DrawBoundingBoxes receives an input boxes that is not of dtype float, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=1, 3, 2, 3, shape=1, 3, 2, 3, dtype=tf.half...

CVE-2022-36026

TensorFlow vulnerability CVE-2022-36026: A non-scalar num_bits input to QuantizeAndDequantizeV3 triggers a CHECK failure, enabling denial of service. The issue is fixed in commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713 and the fix will be in TensorFlow 2.10.0; cherry-picks are planned for 2.9.1,...

CVE-2022-36026 `CHECK` fail in `QuantizeAndDequantizeV3` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizeAndDequantizeV3 is given a nonscalar numbits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713...

CVE-2022-36019

CVE-2022-36019 affects TensorFlow: a CHECK failure in FakeQuantWithMinMaxVarsPerChannel when min/max tensors are not rank-1 can trigger a denial of service. Patched in commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0; fix will be in TensorFlow 2.10.0, with cherry-picks to 2.9.1, 2.8.1, and 2.7.2. ...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-36019 `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel` in TensorFlow

TensorFlow is an open source platform for machine learning. If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35986 Segfault in `RaggedBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. If RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will b...

CVE-2022-35986 Segfault in `RaggedBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. If RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. The fix will b...

CVE-2022-35986

TensorFlow vulnerability CVE-2022-35986 affects RaggedBincount: if an empty input tensor for splits is provided, a segfault can trigger a denial of service. The issue is fixed via GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8, with the fix slated for TensorFlow 2.10.0 and cherry-picked b...

CVE-2022-35987 `CHECK` fail in `DenseBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. DenseBincount assumes its input tensor weights to either have the same shape as its input tensor input or to be length-0. A different weights shape will trigger a CHECK fail that can be used to trigger a denial of service attack. We have...

CVE-2022-35984 `CHECK` fail in `ParameterizedTruncatedNormal` in TensorFlow

TensorFlow is an open source platform for machine learning. ParameterizedTruncatedNormal assumes shape is of type int32. A valid shape of type int64 results in a mismatched type CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35983 `CHECK` fail in `Save` and `SaveSlices` in TensorFlow

TensorFlow is an open source platform for machine learning. If Save or SaveSlices is run over tensors of an unsupported dtype, it results in a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. Th...

CVE-2022-35989 `CHECK` fail in `MaxPool` in TensorFlow

TensorFlow is an open source platform for machine learning. When MaxPool receives a window size input array ksize with dimensions greater than its input tensor input, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub comm...

CVE-2022-35982 Segfault in `SparseBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35982

TensorFlow CVE-2022-35982 describes a segfault in SparseBincount when inputs do not form a valid sparse tensor, potentially enabling a denial of service. A patch was applied in commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa, with the fix scheduled for TensorFlow 2.10.0 and cherry-picked for Tens...

CVE-2022-35982 Segfault in `SparseBincount` in TensorFlow

TensorFlow is an open source platform for machine learning. If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

Impact When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None...

TensorFlow vulnerable to integer overflow in math ops

Impact When RangeSize receives values that do not fit into an int64t, it crashes. cpp auto size = std::isintegral::value ? Eigen::numext::abslimit - start + Eigen::numext::absdelta - T1 / Eigen::numext::absdelta : Eigen::numext::ceil Eigen::numext::abslimit - start / delta; // This check does not...