Integer overflow in Tensorflow
Key facts
- Attack vector
- Network
- 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 · NVD. Fix status from CNA and GitHub. Impact type from CWE-190 and the CVSS impact.
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- No
- Technical impact
- Partial
The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| — | — | all versions | — | No fix listed | CNA |
| — | tensorflow (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-cpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-gpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-c6fh-56w7-fvjw |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-c6fh-56w7-fvjw |
- — Vendor— Affected all versions Fixed in — No fix listed CNA
- tensorflow (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-c6fh-56w7-fvjw
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-c6fh-56w7-fvjw
Remediation
- Fix · GHSA-c6fh-56w7-fvjw tensorflow (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-c6fh-56w7-fvjw tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-21727
- 2026-10-03 Alias added: GHSA-c6fh-56w7-fvjw
- 2026-10-04 EPSS moved to the 50th–90th percentile
References
Patch 2
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-2022-21727 · CVE Program
- CVE-2022-21727 · NVD
- FIRST EPSS
- GHSA-c6fh-56w7-fvjw · GitHub Advisory Database · CC BY 4.0
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