Integer overflow 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 implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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 |
|---|---|---|---|---|---|
| tensorflow | 2.7.0 to before 2.7.1; 2.6.0 to before 2.6.3; before 2.5.3 | 2.7.1, 2.6.3, 2.5.3 | Patch available | CNA | |
| — | tensorflow (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-cpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-gpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-wm93-f238-7v37 |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-wm93-f238-7v37 |
- tensorflow VendorGoogle Affected 2.7.0 to before 2.7.1; 2.6.0 to before 2.6.3; before 2.5.3 Fixed in 2.7.1, 2.6.3, 2.5.3 Patch available CNA
- tensorflow (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-wm93-f238-7v37
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wm93-f238-7v37
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wm93-f238-7v37
- tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-wm93-f238-7v37
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wm93-f238-7v37
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wm93-f238-7v37
- tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-wm93-f238-7v37
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-wm93-f238-7v37
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-wm93-f238-7v37
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.7.1, 2.6.3, 2.5.3
- Fix · GHSA-wm93-f238-7v37 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-wm93-f238-7v37 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-23576
- 2026-10-03 Alias added: GHSA-wm93-f238-7v37
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-2022-23576 · CVE Program
- CVE-2022-23576 · NVD
- FIRST EPSS
- GHSA-wm93-f238-7v37 · GitHub Advisory Database · CC BY 4.0
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