SUSE 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...

SUSE CVE-2022-35969

TensorFlow is an open source platform for machine learning. The implementation of Conv2DBackpropInput requires inputsizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-35981

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...

SUSE CVE-2022-35983

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...

SUSE CVE-2022-35991

TensorFlow is an open source platform for machine learning. When TensorListScatter and TensorListScatterV2 receive an elementshape of a rank greater than one, they give a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-35994

TensorFlow is an open source platform for machine learning. When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be...

SUSE CVE-2022-35995

TensorFlow is an open source platform for machine learning. When AudioSummaryV2 receives an input samplerate with more than one element, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit...

SUSE CVE-2022-36000

TensorFlow is an open source platform for machine learning. When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it gives a null dereference. We have patched the issue in GitHub commit aed36912609fc07229b4d0a7b44f3f48efc00fd0. The fix will be included in...

SUSE CVE-2022-36018

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...

SUSE CVE-2022-36017

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...

SUSE CVE-2022-36019

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...

SUSE CVE-2022-36027

TensorFlow is an open source platform for machine learning. When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. We have patched the issue in GitHub commit aa0b852a4588cea4d36b74feb05d93055540b450. The fix will be...

Onekey Touch devices 安全漏洞

Onekey Touch devices is a one-touch device from Onekey. A security vulnerability exists in Onekey Touch devices versions prior to 4.0.0 and Onekey Mini devices versions prior to 2.10.0. An attacker could exploit this vulnerability to conduct a man-in-the-middle attack...

CVE-2023-25758

Onekey Touch devices through 4.0.0 and Onekey Mini devices through 2.10.0 allow man-in-the-middle attackers to obtain the seed phase. The man-in-the-middle access can only be obtained after disassembling a device i.e., here, "man-in-the-middle" does not refer to the attacker's position on an IP...

CVE-2022-41956

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A file disclosure vulnerability was discovered in Autolab's remote handin feature,...

CVE-2022-41955

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A remote code execution vulnerability was discovered in Autolab's MOSS functionalit...

Remote code execution

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A remote code execution vulnerability was discovered in Autolab's MOSS functionalit...

Design/Logic Flaw

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A file disclosure vulnerability was discovered in Autolab's remote handin feature,...

CVE-2022-41956 Autolab is vulnerable to file disclosure via remote handin feature

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A file disclosure vulnerability was discovered in Autolab's remote handin feature,...

CVE-2022-41956 Autolab is vulnerable to file disclosure via remote handin feature

Autolab is a course management service, initially developed by a team of students at Carnegie Mellon University, that enables instructors to offer autograded programming assignments to their students over the Web. A file disclosure vulnerability was discovered in Autolab's remote handin feature,...