CVE-2021-41228

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's savedmodelcli tool is vulnerable to a code injection as it calls eval on user supplied strings. This can be used by attackers to run arbitrary code on the plaform where the CLI tool runs. However, given...

Google TensorFlow 代码注入漏洞

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. An operating system command injection vulnerability exists in Google TensorFlow, which stems from the fact that the savedmodelcli tool is vulnerable to code injection because it calls eval on a...

PT-2021-23201 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: TensorFlow's saved model cli tool is vulnerable to a code injection as it calls...

Arbitrary Code Execution

tensorflow is vulnerable to arbitrary code execution. An attacker is able to execute arbitrary code on the host OS via a saved model by triggering the use of uninitialized values during code execution...

PYSEC-2020-332

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen...

PYSEC-2020-257

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

PYSEC-2020-302

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

PYSEC-2020-337

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

PYSEC-2020-257

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

CVE-2020-26266 Uninitialized memory access in Eigen types in TensorFlow

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen...

CVE-2020-26271

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

GHSA-Q263-FVXM-M5MW Heap out of bounds access in MakeEdge in TensorFlow

Impact Under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node given by inputindex. This is...

PT-2020-16389 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.5 TensorFlow versions prior to 2.0.4 TensorFlow versions prior to 2.1.3 TensorFlow versions prior to 2.2.2 TensorFlow versions prior to 2.3.2 TensorFlow versions prior to 2.4.0 Description: In affected versio...

PT-2020-16394 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.5 TensorFlow versions prior to 2.0.4 TensorFlow versions prior to 2.1.3 TensorFlow versions prior to 2.2.2 TensorFlow versions prior to 2.3.2 TensorFlow versions prior to 2.4.0 Description: In affected versio...

openSUSE Security Update : tensorflow2 (openSUSE-2020-1766)

This update for tensorflow2 fixes the following issues : - updated to 2.1.2 with following fixes boo1177022 : - Fixes an undefined behavior causing a segfault in tf.rawops.Switch CVE-2020-15190 - Fixes three vulnerabilities in conversion to DLPack format CVE-2020-15191, CVE-2020-15192,...

PYSEC-2020-129

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's SavedModel protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using tensorflow-servin...

CVE-2020-15210

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...