Integer overflow in TFLite
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 · 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. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.
Why it matters now
SSVC decision points
CISA ADP · SSVC 2.0.3
- Exploitation
- Poc
- Automatable
- No
- Technical impact
- Total
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-98p5-x8x4-c9m5 |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-cpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-gpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-98p5-x8x4-c9m5 |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-98p5-x8x4-c9m5 |
- 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-98p5-x8x4-c9m5
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-98p5-x8x4-c9m5
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-98p5-x8x4-c9m5
Remediation
- Fix · CNA tensorflow (tensorflow) Fixed in 2.7.1, 2.6.3, 2.5.3
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-98p5-x8x4-c9m5 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-23559
- 2026-10-03 Alias added: GHSA-98p5-x8x4-c9m5
References
Patch 4
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5
- https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043
- https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4
- https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01
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-2025-35039 An issue was discovered TensorFlow v2.18.0. CVSS 3.1HIGH 7.5
Sources
- CVE-2022-23559 · CVE Program
- CVE-2022-23559 · NVD
- FIRST EPSS
- GHSA-98p5-x8x4-c9m5 · GitHub Advisory Database · CC BY 4.0
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