CVE-2020-15200

MEDIUM

Tensorflow <2.3.1 - Buffer Overflow

Title source: llm
STIX 2.1

Description

In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.

References (3)

Core 3

Scores

CVSS v3 5.9
EPSS 0.0028
EPSS Percentile 51.0%
Attack Vector NETWORK
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

Details

CWE
CWE-20 CWE-122 CWE-787
Status published
Products (4)
google/tensorflow 2.3.0
pypi/tensorflow 2.3.0 - 2.3.1PyPI
pypi/tensorflow-cpu 2.3.0 - 2.3.1PyPI
pypi/tensorflow-gpu 2.3.0 - 2.3.1PyPI
Published Sep 25, 2020
Tracked Since Feb 18, 2026