14 matches found
BIT-TENSORFLOW-2020-15211 Out of bounds access in tensorflow-lite
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...
BIT-2020-15195
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverseindexmapi to be an index outside of bounds of gradvalues, thus resulting in a heap buffer overflow. The issue is patched in...
VulnCheck KEV: CVE-2022-1529
An attacker could have sent a message to the parent process where the contents were used to double-index into a JavaScript object, leading to prototype pollution and ultimately attacker-controlled JavaScript executing in the privileged parent process. This vulnerability affects Firefox ESR...
Mozilla: Untrusted input used in JavaScript object indexing, leading to prototype pollution
The Mozilla Foundation Security Advisory describes this flaw as: An attacker could have sent a message to the parent process where the contents were used to double-index into a JavaScript object, leading to prototype pollution and ultimately attacker-controlled JavaScript executing in the...
Mozilla: Untrusted input used in JavaScript object indexing, leading to prototype pollution
The Mozilla Foundation Security Advisory describes this flaw as: An attacker could have sent a message to the parent process where the contents were used to double-index into a JavaScript object, leading to prototype pollution and ultimately attacker-controlled JavaScript executing in 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-2020-15195
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverseindexmapi to be an index outside of bounds of gradvalues, thus resulting in a heap buffer overflow. The issue is patched in...
Heap overflow
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverseindexmapi to be an index outside of bounds of gradvalues, thus resulting in a heap buffer overflow. The issue is patched in...
PYSEC-2020-310
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverseindexmapi to be an index outside of bounds of gradvalues, thus resulting in a heap buffer overflow. The issue is patched in...
CVE-2020-15211
CVE-2020-15211 : In TensorFlow Lite (before 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1), a negative -1 tensor index used for optional inputs can be treated as a valid index during validation, allowing out-of-bounds reads/writes in some operators. The root cause is the double indexing scheme for tensors i...
CVE-2020-15211 Out of bounds access in tensorflow-lite
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-2020-15195 Heap buffer overflow in Tensorflow
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of SparseFillEmptyRowsGrad uses a double indexing pattern. It is possible for reverseindexmapi to be an index outside of bounds of gradvalues, thus resulting in a heap buffer overflow. The issue is patched in...
Out of bounds access in tensorflow-lite
Impact In TensorFlow Lite, 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 indices for the tensors, indexing into an array of...
PT-2020-14266 · Google +1 · Tensorflow +1
Name of the Vulnerable Software and Affected Versions: Tensorflow versions prior to 1.15.4 Tensorflow versions prior to 2.0.3 Tensorflow versions prior to 2.1.2 Tensorflow versions prior to 2.2.1 Tensorflow versions prior to 2.3.1 Description: The implementation of SparseFillEmptyRowsGrad uses a...