Division by 0 in `Conv3DBackprop*`
Priority LOW 24CWE-369Published · Updated
Key facts
- Attack vector
- Local
- Privileges required
- Low
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Denial of service
- Confidentiality · integrity · availability
- None · None · High
- Fix status
- Fixed
Attack profile from CVSS 3.1 · NVD. Fix status from CNA and GitHub. Impact type from CWE-369.
Summary
TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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.
Why it matters now
EPSS 0.00189 8th percentileScored 2026-11-07
Public exploit Yes 1 exploit referenceTagged by NVD
Fix Fixed tensorflow (tensorflow): 2.1.4, 2.2.3, 2.3.3 +1tensorflow (PyPI): 2.1.4, 2.2.3, 2.3.3 +1+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 | before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 | 2.1.4, 2.2.3, 2.3.3, 2.4.2 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-cpu (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-cpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-gpu (PyPI) | before 2.1.4 | 2.1.4 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.3 | 2.2.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.3 | 2.3.3 | Patch available | GHSA-c968-pq7h-7fxv |
| — | tensorflow-gpu (PyPI) | 2.4.0 to before 2.4.2 | 2.4.2 | Patch available | GHSA-c968-pq7h-7fxv |
- tensorflow VendorGoogle Affected before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-c968-pq7h-7fxv
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-cpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-cpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-gpu (PyPI) Vendor— Affected before 2.1.4 Fixed in 2.1.4 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.3 Fixed in 2.2.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.3 Fixed in 2.3.3 Patch available GHSA-c968-pq7h-7fxv
- tensorflow-gpu (PyPI) Vendor— Affected 2.4.0 to before 2.4.2 Fixed in 2.4.2 Patch available GHSA-c968-pq7h-7fxv
CPE configurations NVD · 1
| CPE | Versions | Role | Vendor |
|---|---|---|---|
| cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 | Vulnerable |
- cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* Versions before 2.1.4; 2.2.0 to before 2.2.3; 2.3.0 to before 2.3.3; 2.4.0 to before 2.4.2 Vulnerable ·Google
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.1.4, 2.2.3, 2.3.3, 2.4.2
- Fix · GHSA-c968-pq7h-7fxv tensorflow (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-cpu (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-cpu (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-cpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-cpu (PyPI) Fixed in 2.4.2 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-gpu (PyPI) Fixed in 2.1.4 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-gpu (PyPI) Fixed in 2.2.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-gpu (PyPI) Fixed in 2.3.3 Advisory →
- Fix · GHSA-c968-pq7h-7fxv tensorflow-gpu (PyPI) Fixed in 2.4.2 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-29522
- 2026-10-03 Alias added: GHSA-c968-pq7h-7fxv
References
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-450.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-648.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-159.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-2021-29522 · CVE Program
- CVE-2021-29522 · NVD
- FIRST EPSS
- GHSA-c968-pq7h-7fxv · GitHub Advisory Database · CC BY 4.0
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