CVE-2022-35972 Segfault in `QuantizedBiasAdd` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, 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-2022-35973

CVE-2022-35973 affects TensorFlow and is caused when QuantizedMatMul receives nonscalar inputs for min_a, max_a, min_b, or max_b, leading to a segfault that can trigger a denial of service. The fix was implemented in a GitHub commit (aca766ac7693bf29ed0df55ad6bfcc78f35e7f48) and will be included ...

CVE-2022-35973 Segfault in `QuantizedMatMul` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: mina, maxa, minb, or maxb It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. T...

CVE-2022-35973 Segfault in `QuantizedMatMul` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedMatMul is given nonscalar input for: mina, maxa, minb, or maxb It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. T...

CVE-2022-35970

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35970 Segfault in `QuantizedInstanceNorm` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35970 Segfault in `QuantizedInstanceNorm` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35970 Segfault in `QuantizedInstanceNorm` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e...

CVE-2022-35966 Segfault in `QuantizedAvgPool` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, 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-2022-35966

CVE-2022-35966 affects TensorFlow. When QuantizedAvgPool is given min_input or max_input tensors of a nonzero rank, it can cause a segfault that enables a denial of service. The issue has been patched in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622 and the fix will be included in Tensor...

CVE-2022-35966

TensorFlow is an open source platform for machine learning. If QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, 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-2022-35967 Segfault in `QuantizedAdd` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89...

CVE-2022-35967 Segfault in `QuantizedAdd` in TensorFlow

TensorFlow is an open source platform for machine learning. If QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89...

CVE-2022-35964 Segfault in `BlockLSTMGradV2` in TensorFlow

TensorFlow is an open source platform for machine learning. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35964

TensorFlow is an open source platform for machine learning. The implementation of BlockLSTMGradV2 does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

CVE-2022-35965 Segfault in `LowerBound` and `UpperBound` in TensorFlow

TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit...

Google TensorFlow 安全漏洞

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 that stems from a segmentation error that can be used to trigger a denial-of-service attack if RaggedBincount is given...

PT-2022-23117

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 results in a segfault that can be used to trigger a denial of service...

Google TensorFlow 输入验证错误漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google Inc. Google TensorFlow suffers from an input validation error vulnerability that originates from the fact that if the following non-scalar inputs are provided to QuantizedMatMul: mina, maxa, minb, or maxb, it...

PT-2022-23084

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1, 2.8.1, and 2.7.2 Description The issue occurs when RaggedBincount is given an empty input tensor splits, resulting in a segfault that can be used to trigger a denial of service...