Assertion failure based denial of service 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-617.
Summary
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. 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-f2vv-v9cg-qhh7 |
| — | tensorflow (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-cpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-cpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-cpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-gpu (PyPI) | before 2.5.3 | 2.5.3 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-gpu (PyPI) | 2.6.0 to before 2.6.3 | 2.6.3 | Patch available | GHSA-f2vv-v9cg-qhh7 |
| — | tensorflow-gpu (PyPI) | 2.7.0 to before 2.7.1 | 2.7.1 | Patch available | GHSA-f2vv-v9cg-qhh7 |
- — 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-f2vv-v9cg-qhh7
- tensorflow (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-cpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-cpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-cpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-gpu (PyPI) Vendor— Affected before 2.5.3 Fixed in 2.5.3 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-gpu (PyPI) Vendor— Affected 2.6.0 to before 2.6.3 Fixed in 2.6.3 Patch available GHSA-f2vv-v9cg-qhh7
- tensorflow-gpu (PyPI) Vendor— Affected 2.7.0 to before 2.7.1 Fixed in 2.7.1 Patch available GHSA-f2vv-v9cg-qhh7
Remediation
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-cpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-cpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-cpu (PyPI) Fixed in 2.7.1 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-gpu (PyPI) Fixed in 2.5.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-gpu (PyPI) Fixed in 2.6.3 Advisory →
- Fix · GHSA-f2vv-v9cg-qhh7 tensorflow-gpu (PyPI) Fixed in 2.7.1 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2022-21737
- 2026-10-03 Alias added: GHSA-f2vv-v9cg-qhh7
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-2022-21737 · CVE Program
- CVE-2022-21737 · NVD
- FIRST EPSS
- GHSA-f2vv-v9cg-qhh7 · GitHub Advisory Database · CC BY 4.0
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