Out-of-bounds (OOB) Read/Write

tensorflow is vulnerable to out-of-bounds OOB read/write. Lack of proper handling of the last argument of Shard API, a function taking two arguments of the lambda allows an attacker to lead to a truncation of arguments from positive int64 values to negative int ones, resulting in a buffer out of...

Format String Attack

tensorflow is vulnerable to format string attacks. The vulnerability exists as the fill argument of tf.strings.asstring reaches a printf call without sanitization...

Arbitrary Code Execution

tensorflow is vulnerable to arbitrary code execution. The vulnerability exists through a memory corruption issue in the implementation of dlpack.todlpack, as the pybind11 does not restrict Python objects to be parsed and casted...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service DoS. The vulnerability exists through a null pointer dereference that occurs in c/eager/dlpack.cc through an invalid argument to dlpack.todlpack...

Google TensorFlow Input Validation Error Vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which stems from a lack of validation of the datasplits parameter of...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2020-54655)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in tensorflow-lite versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which can be exploited by an attacker to write and read from outside the...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2020-54656)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in TensorFlow Lite versions prior to 2.2.1, 2.3.1, which can be exploited by an attacker to perform out-of-bounds memory operations, resulting in memory leakage...

Google TensorFlow Input Validation Error Vulnerability (CNVD-2020-55182)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. An input validation error vulnerability exists in Tensorflow versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which stems from the program's failure to adequately perform path...

Tensorflow Data Validation Vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow version 2.3.0 that stems from the inability of the SparseCountSparseOutput and RaggedCountSparseOutput implementations to verify that the weights...

Google TensorFlow code issue vulnerability (CNVD-2020-54781)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow versions prior to 2.2.1, and in version 2.3.1, which stems from the pybind11 bonding code that assumes that the arguments are tensors, which can be...

Google TensorFlow Buffer Overflow Vulnerability (CNVD-2020-54782)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow SparseFillEmptyRowsGrad versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which arises from a networked system or product that perfor...

Google TensorFlow Input Validation Error Vulnerability (CNVD-2020-54472)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in Tensorflow versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, which can be exploited by an attacker to trigger a format string vulnerability...

Google TensorFlow code issue vulnerability (CNVD-2020-54473)

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in TensorFlow eager mode versions prior to 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1, and 2.3.1, which can be exploited by attackers to cause segmentation errors...

TensorFlow Lite Input Validation Error Vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google USA. A security vulnerability exists in TensorFlow Lite versions prior to 2.2.1, 2.3.1, which stems from a networked system or product that does not properly validate incoming data. An attacker can u...

CVE-2020-15214

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...

CVE-2020-15211

In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indice...

CVE-2020-15213

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor,...

CVE-2020-15212

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger writes outside of bounds of heap allocated buffers by inserting negative elements in the segment ids tensor. Users having access to segmentidsdata can alter outputindex and then write to outside of outputdata...

CVE-2020-15208

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, when determining the common dimension size of two tensors, TFLite uses a DCHECK which is no-op outside of debug compilation modes. Since the function always returns the dimension of the first tensor, malicious attackers can...

CVE-2020-15211

In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indice...