2386 matches found
CVE-2022-35967
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...
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
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 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...
CVE-2022-35974: Improper Input Validation
TensorFlow is an open source platform for machine learning. If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, 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: Improper Input Validation
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...
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...
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...
CVE-2022-35973: Improper Input Validation
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...
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-2022-23117
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...
CVE-2022-35965: NULL Pointer Dereference
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...
CVE-2022-36017: Improper Input Validation
TensorFlow is an open source platform for machine learning. If Requantize is given inputmin, inputmax, requestedoutputmin, requestedoutputmax 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-2022-35964: Improper Input Validation
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-2022-35967: Improper Input Validation
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...
PT-2022-23080
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 arises when SparseBincount is given inputs for indices, values, and den...
CVE-2022-35979: Improper Input Validation
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...