PT-2021-18264 · Google · Tensorflow

Yakun Zhang + 1 · Published 2021-05-14 · Updated 2024-03-06 · CVE-2021-29513

Positive Technologies (AI Summary)

CVSS v3.1

7.8

High

Base vector

AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4

Description: The issue arises when calling TF operations with tensors of non-numeric types, resulting in null pointer dereferences. This occurs due to a type confusion in the conversion from Python array to C++ array. The estimated number of potentially affected devices is not provided. There is no information about real-world incidents where this issue was exploited.

Technical details about exploitation include:

• The conversion from Python array to C++ array is vulnerable to a type confusion.
• The pyarray type is NPY VOID but the descr field is such that descr->field = NULL, triggering a null dereference in PyArrayDescr to TF DataType.
• API endpoints and variables are not explicitly mentioned, but the issue involves the use of tf.random.truncated normal, tf.random.stateless truncated normal, tf.one hot, tf.range, and tf.raw ops.ResourceCountUpTo functions.

Recommendations:

• For TensorFlow version 2.1.4, update to a newer version that includes the fix.
• For TensorFlow version 2.2.3, update to a newer version that includes the fix.
• For TensorFlow version 2.3.3, update to a newer version that includes the fix.
• For TensorFlow version 2.4.2, update to a newer version that includes the fix.
• For versions prior to 2.5.0, update to version 2.5.0 or later to resolve the issue. As a temporary workaround, consider avoiding the use of non-numeric tensors with TF operations until a patch is available. Restrict access to the vulnerable conversion function to minimize the risk of exploitation.

Exploit

Fix

Type Confusion

NULL Pointer Dereference

Weakness Enumeration

CWE-843

CWE-476

Related Identifiers

BIT-TENSORFLOW-2021-29513

CVE-2021-29513

GHSA-452G-F7FP-9JF7

PYSEC-2021-150

PYSEC-2021-441

PYSEC-2021-639

Affected Products

Tensorflow

References · 13

• 🔥 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-452g-f7fp-9jf7 · Exploit
• https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489 · Patch
• https://osv.dev/vulnerability/PYSEC-2021-150 · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2021-29513 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-452g-f7fp-9jf7 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-639 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2021-29513 · Security Note
• https://osv.dev/vulnerability/PYSEC-2021-441 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2021-29513 · Vendor Advisory
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-441.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-639.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-150.yaml · Note