Incomplete validation of shapes in multiple TF ops
Priority LOW 33CWE-354Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- —
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub.
Summary
TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Why it matters now
EPSS 0.0018 7th percentileScored 2026-11-07
Fix Fixed tensorflow (tensorflow): 2.6.1, 2.5.2, 2.4.4tensorflow (PyPI): 2.6.1, 2.5.2, 2.4.4+2 more products
SSVC decision points
Not available: CISA has not published SSVC decision points for this record.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | 2.6.0 to before 2.6.1; 2.5.0 to before 2.5.2; before 2.4.4 | 2.6.1, 2.5.2, 2.4.4 | Patch available | CNA | |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-cpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-cpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-gpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-pgcq-h79j-2f69 |
| — | tensorflow-gpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-pgcq-h79j-2f69 |
- tensorflow VendorGoogle Affected 2.6.0 to before 2.6.1; 2.5.0 to before 2.5.2; before 2.4.4 Fixed in 2.6.1, 2.5.2, 2.4.4 Patch available CNA
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-pgcq-h79j-2f69
- tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-pgcq-h79j-2f69
- tensorflow (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-cpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-pgcq-h79j-2f69
- tensorflow-gpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-pgcq-h79j-2f69
CPE configurations NVD · 3
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.4.0 to before 2.4.4; 2.5.0 to before 2.5.2; 2.6.0 to before 2.6.1 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* | 2.7.0 rc0 | Vulnerable | |
| cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* | 2.7.0 rc1 | Vulnerable |
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions 2.4.0 to before 2.4.4; 2.5.0 to before 2.5.2; 2.6.0 to before 2.6.1 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.7.0:rc0:*:*:*:*:*:* Versions 2.7.0 rc0 Vulnerable ·Google
- cpe:2.3:a:google:tensorflow:2.7.0:rc1:*:*:*:*:*:* Versions 2.7.0 rc1 Vulnerable ·Google
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.6.1, 2.5.2, 2.4.4
- Fix · GHSA-pgcq-h79j-2f69 tensorflow (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-cpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-cpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-cpu (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-gpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-gpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-pgcq-h79j-2f69 tensorflow-gpu (PyPI) Fixed in 2.4.4 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-41206
- 2026-10-03 Alias added: GHSA-pgcq-h79j-2f69
References
Patch 6
- https://github.com/tensorflow/tensorflow/commit/4d74d8a00b07441cba090a02e0dd9ed385145bf4
- https://github.com/tensorflow/tensorflow/commit/4dddb2fd0b01cdd196101afbba6518658a2c9e07
- https://github.com/tensorflow/tensorflow/commit/579261dcd446385831fe4f7457d802a59685121d
- https://github.com/tensorflow/tensorflow/commit/68422b215e618df5ad375bcdc6d2052e9fd3080a
- https://github.com/tensorflow/tensorflow/commit/da4aad5946be30e5f049920fa076e1f7ef021261
- https://github.com/tensorflow/tensorflow/commit/e7f497570abb6b4ae5af4970620cd880e4c0c904
Advisory 2
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-845.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-847.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-843.yaml
- https://github.com/tensorflow/tensorflow
More Google Tensorflow vulnerabilities
- TI-2022-20241 FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07640 Integer overflow in Tensorflow CVSS 3.1CRITICAL 9.8
- TI-2022-07627 Out of bounds read and write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07619 Out of bounds write in Tensorflow CVSS 3.1HIGH 8.8
- TI-2022-07613 Read and Write outside of bounds in TFLite CVSS 3.1HIGH 8.8
- TI-2022-07612 Integer overflow in TFLite CVSS 3.1HIGH 8.8
Sources
- CVE-2021-41206 · CVE Program
- CVE-2021-41206 · NVD
- FIRST EPSS
- GHSA-pgcq-h79j-2f69 · GitHub Advisory Database · CC BY 4.0
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