Low

Session operations in eager mode lead to null pointer dereferences

  • Disclosed: 14.05.2021
  • Updated: 11.10.2026 13:19

Impact

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:

python
import tensorflow as tf
tf.raw_ops.GetSessionTensor(handle=['\x12\x1a\x07'],dtype=4)
python
import tensorflow as tf
tf.raw_ops.DeleteSessionTensor(handle=['\x12\x1a\x07'])

The implementation dereferences the session state pointer without checking if it is valid:

cc
  OP_REQUIRES_OK(ctx, ctx->session_state()->GetTensor(name, &val));

Thus, in eager mode, ctx->session_state() is nullptr and the call of the member function is undefined behavior.

Patches

We have patched the issue in GitHub commit ff70c47a396ef1e3cb73c90513da4f5cb71bebba.

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.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Affected software

Click a technology to see all vulnerabilities affecting it.

PlatformPackageVulnerable versionsFixed in
Python (PyPI) tensorflow < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2
Python (PyPI) tensorflow-cpu < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2
Python (PyPI) tensorflow-gpu < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2

References

CVSS score 2.5/10
CVSS vector
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Weakness (CWE)
CWE-476
Platform
Python (PyPI)
Package
tensorflow, tensorflow-cpu, tensorflow-gpu
Disclosed
14.05.2021
Updated
11.10.2026 13:19

Sources and licenses

OSV / GitHub Advisory Database - PYSEC-2021-155 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2021-446 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - PYSEC-2021-644 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-62gx-355r-9fhg - CC BY 4.0

Vulnerability history: tensorflow-cpu

All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.

All (430) in the archive
Total entries
430
First → latest
04.2019 07.2024
Without a fix
0
Exploited in attacks
0

Severity breakdown

  • Critical 6
  • High 111
  • Medium 208
  • Low 105

Disclosures per year

  1. 2019: 7
  2. 2020: 35
  3. 2021: 200
  4. 2022: 166
  5. 2023: 21
  6. 2024: 1
  7. 2025: 0
  8. 2026: 0
Severity:
  1. Session operations in eager mode lead to null pointer dereferences this entry
    Low · 2.5 CVE-2021-29518 < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2 2.1.4, 2.2.3, 2.3.3, 2.4.2
  2. High · 7.5 CVE-2023-33976 < 2.12.1 2.12.1
  3. High · 7.5 CVE-2023-25659 < 2.11.1 2.11.1
  4. High · 7.5 CVE-2023-25660 < 2.11.1 2.11.1
  5. High · 7.5 CVE-2023-25662 < 2.11.1 2.11.1
  6. High · 7.5 CVE-2023-25663 < 2.11.1 2.11.1
  7. High · 7.5 CVE-2023-25664 < 2.11.1 2.11.1
  8. High · 7.5 CVE-2023-25665 < 2.11.1 2.11.1
  9. High · 7.5 CVE-2023-25666 < 2.11.1 2.11.1
  10. High · 7.5 CVE-2023-25669 < 2.11.1 2.11.1
  11. High · 7.5 CVE-2023-25671 < 2.11.1 2.11.1
  12. High · 7.5 CVE-2023-25672 < 2.11.1 2.11.1
  13. High · 7.5 CVE-2023-25673 < 2.11.1 2.11.1
  14. High · 7.5 CVE-2023-25674 < 2.11.1 2.11.1
  15. High · 7.5 CVE-2023-25675 < 2.11.1 2.11.1
  16. High · 7.5 CVE-2023-25676 < 2.11.1 2.11.1
  17. High · 8.0 CVE-2023-25801 < 2.11.1 2.11.1
  18. High · 7.5 CVE-2023-27579 < 2.11.1 2.11.1
  19. High · 7.5 CVE-2023-25658 < 2.11.1 2.11.1
Show more (20) Showing 21 of 118

Know which vulnerabilities affect your application

With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.

Connect your application
DockRay newsletter

Application security in your inbox

Important vulnerabilities, actionable guidance and practical advice for your applications. Choose your technologies and follow what matters to your project.

  • A daily digest of new vulnerabilities, critical ones included.
  • Notifications about important updates.
  • Practical advice on application security and monitoring.

Leave empty to receive updates for every technology.

Free to subscribe. Unsubscribe with one click in any email.