Reference binding to `nullptr` in `tf.ragged.cross`
Priority LOW 33CWE-824Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Code execution
- Confidentiality · integrity · availability
- High · High · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub. Impact type from CWE-824 and the CVSS impact.
Summary
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit 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 0.00217 12th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
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-vwhq-49r4-gj9v |
| — | tensorflow (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-cpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-cpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-gpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-vwhq-49r4-gj9v |
| — | tensorflow-gpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-vwhq-49r4-gj9v |
- 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-vwhq-49r4-gj9v
- tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-cpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-vwhq-49r4-gj9v
- tensorflow-gpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-vwhq-49r4-gj9v
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.6.1, 2.5.2, 2.4.4
- Fix · GHSA-vwhq-49r4-gj9v tensorflow (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-cpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-cpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-cpu (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-gpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-gpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-vwhq-49r4-gj9v tensorflow-gpu (PyPI) Fixed in 2.4.4 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-41214
- 2026-10-03 Alias added: GHSA-vwhq-49r4-gj9v
References
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-623.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-821.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-406.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-2021-41214 · CVE Program
- CVE-2021-41214 · NVD
- FIRST EPSS
- GHSA-vwhq-49r4-gj9v · GitHub Advisory Database · CC BY 4.0
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