Integer overflows in Tensorflow
Key facts
- Attack vector
- Network
- 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 Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. 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-rrx2-r989-2c43 |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-cpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-gpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-rrx2-r989-2c43 |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-rrx2-r989-2c43 |
- — 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-rrx2-r989-2c43
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rrx2-r989-2c43
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rrx2-r989-2c43
- tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-rrx2-r989-2c43
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rrx2-r989-2c43
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rrx2-r989-2c43
- tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-rrx2-r989-2c43
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-rrx2-r989-2c43
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-rrx2-r989-2c43
Remediation
- Fix · GHSA-rrx2-r989-2c43 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-rrx2-r989-2c43 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-23567
- 2026-10-03 Alias added: GHSA-rrx2-r989-2c43
References
Patch 4
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrx2-r989-2c43
- https://github.com/tensorflow/tensorflow/commit/1b54cadd19391b60b6fcccd8d076426f7221d5e8
- https://github.com/tensorflow/tensorflow/commit/e952a89b7026b98fe8cbe626514a93ed68b7c510
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-2022-23567 · CVE Program
- CVE-2022-23567 · NVD
- FIRST EPSS
- GHSA-rrx2-r989-2c43 · GitHub Advisory Database · CC BY 4.0
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