Google TensorFlow code issue vulnerability (CNVD-2023-10609)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A code issue vulnerability exists in Google TensorFlow, which stems from the fact that if an empty sortedinputs input is provided for a LowerBound or UpperBound, it can cause nullptr dereference, an...

Google TensorFlow code issue vulnerability (CNVD-2023-10610)

Google TensorFlow is an end-to-end open source platform for machine learning from Google USA. Google TensorFlow suffers from a code issue vulnerability that stems from when "mlir::tfg::GraphDefImporter:: ConvertNodeDef" attempts to convert a nodedef with an unoperated name, it crashes, and an...

Google TensorFlow Input Validation Error Vulnerability (CNVD-2023-10611)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. An input validation error vulnerability exists in Google TensorFlow, which stems from a segmentation error that occurs if QuantizedAdd is given a tensor of non-zero rank mininput or maxinput. An attacke...

Google TensorFlow Denial of Service Vulnerability (CNVD-2023-15782)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that the implementation of tf.reshape op in TensorFlow is vulnerable to an overflow in the number of elements in...

Google TensorFlow CollectiveGather Denial of Service Vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that when CollectiveGather receives a scalar input input, it gives an assertion of failure, which can be exploite...

Google TensorFlow Denial of Service Vulnerability (CNVD-2023-10608)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that FakeQuantWithMinMaxVars will fail to assert if it is given a tensor of non-zero rank min or max. An attacker...

Google TensorFlow Denial of Service Vulnerability (CNVD-2023-10600)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that when AudioSummaryV2 receives an input samplerate containing multiple elements, it gives an assertion failure...

Google TensorFlow Conv2D Denial of Service Vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the fact that if Conv2D is specified as an empty input and the filter and padding sizes are valid, the output is all zeros...

Google TensorFlow Denial of Service Vulnerability (CNVD-2023-15783)

Google TensorFlow is an end-to-end open source platform for machine learning from Google. Google TensorFlow has a denial-of-service vulnerability that could be exploited by attackers to trigger a denial-of-service attack...

Google TensorFlow AvgPoolOp Denial of Service Vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A denial-of-service vulnerability exists in Google TensorFlow, which stems from the AvgPoolOp function accepting a parameter ksize , which must be positive but is not checked. An attacker could exploit...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in ImportNodes in functiondefimport.cc because the assertion fails on MLIR when empty edge names are given which causes an application crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in Compute function of listkernels.h because elementshape check is not properly handled which allows an attacker to cause an application crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A remote attacker is able to trigger a CHECK-fail mechanism instead of returning a status by providing invalid number of arguments through FullTypeDef& t to tensorflow::fulltype::SubstituteFromAttrs, causing an application crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A segmentation fault in RaggedBincount could be triggered via an empty input tensor through splits, which allows remote attackers to cause denial of service conditions in the system...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A malicious user is able to cause denial of service conditions by providing an input value that does not fit into an int64t through RangeSize, causing the application to crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A malicious user is able to cause denial of service conditions by providing the elementshape in TensorListFromTensor with a rank greater than one, which gives a CHECK fail, triggering an application crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A malicious user is able to cause a null dereference by providing empty function attributes to the mlir::tfg::ConvertGenericFunctionToFunctionDef function, causing the application to crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service attacks. The vulnerability exists due to lack of sanitization of tensorflow function in quantizeanddequantizeop.cc which allows a remote attacker to cause the application to crash...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in the BincountOp function in bincountop.cc due to check fail inDenseBincount which allows an attacker to cause an application crash by providing malicious input...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS attacks. A malicious user is able to pass an empty input with valid filter and padding sizes which outputs all-zeros, causing a division-by-zero exception leading to an application crash...