CVE-2020-15210: Improper Input Validation

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...

CVE-2020-15211: Out-of-bounds Read

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: Improper Restriction of Operations within the Bounds of a Memory Buffer

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,...

PT-2020-14285 · Google · Tensorflow Lite

Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue arises when models using segment sum have unsorted segment ids, causing the code to assume they are in increasing order. This leads to...

PT-2020-14284 · Google · Tensorflow Lite

Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue allows attackers to trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. This is possib...

CVE-2020-15208: Out-of-bounds Read

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-2020-15207: Improper Restriction of Operations within the Bounds of a Memory Buffer

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses ResolveAxis to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the...

GHSA-FRXX-2M33-6WCR Improper Restriction of Operations within the Bounds of a Memory Buffer in Google TensorFlow

Google TensorFlow 1.7 and below is affected by: Buffer Overflow. The impact is: execute arbitrary code local. Users passing a malformed or malicious version of a TFLite graph into TOCO will cause TOCO to crash or cause a buffer overflow, potentially allowing malicious code to be executed...