Overflow/crash in `tf.tile` when tiling tensor is large
Priority LOW 24CWE-190Published · 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 · CNA. Fix status from CNA and GitHub. Impact type from CWE-190 and the CVSS impact.
Summary
TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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 0.00238 14th percentileScored 2026-11-07
Public exploit Yes 2 exploit referencesTagged 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-2p25-55c9-h58q |
| — | tensorflow (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-cpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-cpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.1 | 2.6.1 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-gpu (PyPI) | 2.5.0 to before 2.5.2 | 2.5.2 | Patch available | GHSA-2p25-55c9-h58q |
| — | tensorflow-gpu (PyPI) | before 2.4.4 | 2.4.4 | Patch available | GHSA-2p25-55c9-h58q |
- 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-2p25-55c9-h58q
- tensorflow (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-2p25-55c9-h58q
- tensorflow (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-2p25-55c9-h58q
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-2p25-55c9-h58q
- tensorflow-cpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-2p25-55c9-h58q
- tensorflow-cpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-2p25-55c9-h58q
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.1 Fixed in 2.6.1 Patch available GHSA-2p25-55c9-h58q
- tensorflow-gpu (PyPI) Vendor— Affected 2.5.0 to before 2.5.2 Fixed in 2.5.2 Patch available GHSA-2p25-55c9-h58q
- tensorflow-gpu (PyPI) Vendor— Affected before 2.4.4 Fixed in 2.4.4 Patch available GHSA-2p25-55c9-h58q
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.6.1, 2.5.2, 2.4.4
- Fix · GHSA-2p25-55c9-h58q tensorflow (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-cpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-cpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-cpu (PyPI) Fixed in 2.4.4 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-gpu (PyPI) Fixed in 2.6.1 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-gpu (PyPI) Fixed in 2.5.2 Advisory →
- Fix · GHSA-2p25-55c9-h58q tensorflow-gpu (PyPI) Fixed in 2.4.4 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2021-41198
- 2026-10-03 Alias added: GHSA-2p25-55c9-h58q
References
Exploit 2
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-608.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-806.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-391.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-2021-41198 · CVE Program
- CVE-2021-41198 · NVD
- FIRST EPSS
- GHSA-2p25-55c9-h58q · GitHub Advisory Database · CC BY 4.0
This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences