Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29512Heap buffer overflow in `RaggedBinCount`

Low 2.5

In plain English

A low-severity buffer overflow 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-L433). Before the `for` loop, `batch_idx` is set to 0. The user controls the `splits` array, making it contain only one element, 0. Thus, the code in the `while` loop would increment `batch_idx` and then try to read `splits(1)`, which is outside of bounds. 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
PyPItensorflow2.3.3, 2.4.2PYSEC-2021-149
PyPItensorflow2.3.3GHSA-4278-2v5v-65r4
PyPItensorflow2.4.2GHSA-4278-2v5v-65r4
PyPItensorflow-cpu2.3.3, 2.4.2PYSEC-2021-440
PyPItensorflow-cpu2.4.2GHSA-4278-2v5v-65r4
PyPItensorflow-cpu2.3.3GHSA-4278-2v5v-65r4
PyPItensorflow-gpu2.3.3, 2.4.2PYSEC-2021-638
PyPItensorflow-gpu2.3.3GHSA-4278-2v5v-65r4
PyPItensorflow-gpu2.4.2GHSA-4278-2v5v-65r4

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow >=2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-120 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References