Stack overflow

TensorFlow is an open source platform for machine learning. When tf.quantization.fakequantwithminmaxvarsperchannelgradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

Stack overflow

TensorFlow is an open source platform for machine learning. If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

Stack overflow

TensorFlow is an open source platform for machine learning. FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack. We have patched the issue in GitHu...

Stack overflow

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...

Stack overflow

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...

Stack overflow

TensorFlow is an open source platform for machine learning. If LRNGrad is given an outputimage input tensor that is not 4-D, 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 bd90b3efab4ec958b228cd7cfe9125be1c0cf255. The...

Stack overflow

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...

Stack overflow

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...

Stack overflow

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...

Stack overflow

TensorFlow is an open source platform for machine learning. When tf.linalg.matrixrank receives an empty input a, 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 commit c55b476aa0e0bd4ee99d0f3ad18d9d706cd1260a. The fix...

Stack overflow

TensorFlow is an open source platform for machine learning. If RaggedTensorToVariant is given a rtnestedsplits list that contains tensors of ranks 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...

Stack overflow

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...

Stack overflow

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...

acuity (=6.18.0), acuitypro (=6.18.0) +60 more potentially affected by CVE-2022-35965 via tensorflow (>=2.8.0 <=2.8.0rc1)

tensorflow PYPI version =2.8.0, =1.2.8, =1.0.43, =0.2.2, =0.0.1, =0.0.2, =0.2.8, =0.14.0, =0.1.3, =0.0.9, =0.2.27, =0.2.41 - complaintclassify =0.0.5 - conversational-sentence-encoder =0.0.6 and more Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-PW36...

aliby (>=0.1.18 <=0.1.55), aliby-baby (>=0.1.11 <=0.1.17) +29 more potentially affected by CVE-2022-35965 via tensorflow (>=2.9.0 <=2.9.0rc2)

tensorflow PYPI version =2.9.0, =0.1.18, =0.1.11, =0.30.0, =0.0.0, =1.3.0, =0.3.0, =1.0.1, =1.2.0, =0.0.6, =1.0.12, =0.1.0, =0.1.1 and more Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-PW36...

a62-emotion (>=0.10.12 <=0.11.4), aiproteomics (=0.2.1) +98 more potentially affected by CVE-2022-35965 via tensorflow-cpu (>=1.15.0 <=2.7.0)

tensorflow-cpu PYPI version =1.15.0, =0.10.12, =2.0.0, =2.0.0, =1.0.0, =0.0.5, =0.3.0, =0.0.1, =0.8.1, =0.1.1, =1.3.0, =0.1.0.dev1, =0.0.1, =0.3.3 and more Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-PW36...

clip-jax (=0.0.5) potentially affected by CVE-2022-35965 via tensorflow-cpu (=2.9.0)

tensorflow-cpu PYPI version =2.9.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-cpu and may be impacted: - clip-jax =0.0.5 Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-PW36...

animl (>=1.1.2 <=1.1.4), arekit (>=0.21.0 <=0.22.1) +182 more potentially affected by CVE-2022-35965 via tensorflow-gpu (>=1.10.1 <=2.7.0)

tensorflow-gpu PYPI version =1.10.1, =1.1.2, =0.21.0, =0.23.0, =0.9.2, =1.0.0, =0.1.0, =0.0.1, =0.0.9, =0.1.0, =0.0.1, =1.0.0, =1.0.3 - brainhance =0.0.1 and more Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-PW36...

causalegm (>=0.2.1 <=0.2.5), chrombpnet (>=0.1.0 <=0.1.2) +3 more potentially affected by CVE-2022-35965 via tensorflow-gpu (=2.8.0)

tensorflow-gpu PYPI version =2.8.0 is affected by a known vulnerability. The following packages have a transitive dependency on tensorflow-gpu and may be impacted: - causalegm =0.2.1, =0.1.0, =0.0.6, =2.3.5, =2.4.1 - tlaunch =0.0.2 Source cves: CVE-2022-35965 Source advisory: OSV:GHSA-QXPX-J395-P...

GHSA-QXPX-J395-PW36 TensorFlow vulnerable to segfault in `LowerBound` and `UpperBound`

Impact If LowerBound or UpperBound is given an emptysortedinputs input, it results in a nullptr dereference, leading to a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.int32 sortedinputs = tf.constant, shape=10,0, dtype=tf.float32...