Vulnerability · Published May 14, 2021 · Assigned by GitHub_M

CVE-2021-29516Null pointer dereference via invalid Ragged Tensors

Low 2.5

In plain English

A low-severity null pointer dereference 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 10% 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 90.3% 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. Calling `tf.raw_ops.RaggedTensorToVariant` with arguments specifying an invalid ragged tensor results in a null pointer dereference. The implementation of `RaggedTensorToVariant` operations(https://github.com/tensorflow/tensorflow/blob/904b3926ed1c6c70380d5313d282d248a776baa1/tensorflow/core/kernels/ragged_tensor_to_variant_op.cc#L39-L40) does not validate that the ragged tensor argument is non-empty. Since `batched_ragged` contains no elements, `batched_ragged.splits` is a null vector, thus `batched_ragged.splits(0)` will result in dereferencing `nullptr`. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
PyPItensorflow2.3.3GHSA-84mw-34w6-2q43
PyPItensorflow2.4.2GHSA-84mw-34w6-2q43
PyPItensorflow2.1.4GHSA-84mw-34w6-2q43
PyPItensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-153
PyPItensorflow2.2.3GHSA-84mw-34w6-2q43
PyPItensorflow-cpu2.4.2GHSA-84mw-34w6-2q43
PyPItensorflow-cpu2.1.4GHSA-84mw-34w6-2q43
PyPItensorflow-cpu2.2.3GHSA-84mw-34w6-2q43
PyPItensorflow-cpu2.3.3GHSA-84mw-34w6-2q43
PyPItensorflow-cpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-444
PyPItensorflow-gpu2.3.3GHSA-84mw-34w6-2q43
PyPItensorflow-gpu2.4.2GHSA-84mw-34w6-2q43
PyPItensorflow-gpu2.1.4GHSA-84mw-34w6-2q43
PyPItensorflow-gpu2.1.4, 2.2.3, 2.3.3, 2.4.2PYSEC-2021-642
PyPItensorflow-gpu2.2.3GHSA-84mw-34w6-2q43

Affected products (as reported)

VendorProductVersions
tensorflow tensorflow < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2

Weakness: CWE-476 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L

References