Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29514Heap out of bounds write in `RaggedBinCount`

Low 2.5

In plain English

A low-severity out-of-bounds write in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 11% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)2.5Low
Exploit odds (30 days)0.2%top 88.6% of all CVEs
Exploited in the wildNo reportsnot in CISA KEV
Attack toolingNoneno public tooling known

Official description

TensorFlow is an end-to-end open source platform for machine learning. If the `splits` argument of `RaggedBincount` does not specify a valid `SparseTensor`(https://www.tensorflow.org/api_docs/python/tf/sparse/SparseTensor), then an attacker can trigger a heap buffer overflow. This will cause a read from outside the bounds of the `splits` tensor buffer in the implementation of the `RaggedBincount` op(https://github.com/tensorflow/tensorflow/blob/8b677d79167799f71c42fd3fa074476e0295413a/tensorflow/core/kernels/bincount_op.cc#L430-L446). Before the `for` loop, `batch_idx` is set to 0. The attacker sets `splits(0)` to be 7, hence the `while` loop does not execute and `batch_idx` remains 0. This then results in writing to `out(-1, bin)`, which is before the heap allocated buffer for the output tensor. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 and TensorFlow 2.3.3, as these are also affected.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-151
PyPItensorflow2.3.3GHSA-8h46-5m9h-7553
PyPItensorflow2.4.2GHSA-8h46-5m9h-7553
PyPItensorflow-cpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-442
PyPItensorflow-cpu2.4.2GHSA-8h46-5m9h-7553
PyPItensorflow-cpu2.3.3GHSA-8h46-5m9h-7553
PyPItensorflow-gpu2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3PYSEC-2021-640
PyPItensorflow-gpu2.3.3GHSA-8h46-5m9h-7553
PyPItensorflow-gpu2.4.2GHSA-8h46-5m9h-7553

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-787 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References