TensorFlow is an end-to-end open source platform for machine learning. In eager mode (default in TF 2.0 and later), session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The implementation(https://github.com/tensorflow/tensorflow/blob/eebb96c2830d48597d055d247c0e9aebaea94cd5/tensorflow/core/kernels/session_ops.cc#L104) dereferences the session state pointer without checking if it is valid. Thus, in eager mode, `ctx->session_state()` is nullptr and the call of the member function is undefined behavior. 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.
Advisories
Source ID Title
Github GHSA Github GHSA GHSA-62gx-355r-9fhg Session operations in eager mode lead to null pointer dereferences
Fixes

Solution

No solution given by the vendor.


Workaround

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History

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2024-08-03T22:11:05.905Z

Reserved: 2021-03-30T00:00:00

Link: CVE-2021-29518

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Modified

Published: 2021-05-14T20:15:11.437

Modified: 2024-11-21T06:01:17.733

Link: CVE-2021-29518

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

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