Undefined behavior in Tensorflow
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- None
- Attack complexity
- Low
- Impact type
- Denial of service
- Confidentiality · integrity · availability
- None · None · Low
- Fix status
- Fixed
Attack profile from CVSS 3.1 · CNA. Fix status from CNA and GitHub. Impact type from CWE-476.
Summary
In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes an invalid argument to `dlpack.to_dlpack` the expected validations will cause variables to bind to `nullptr` while setting a `status` variable to the error condition. However, this `status` argument is not properly checked. Hence, code following these methods will bind references to null pointers. This is undefined behavior and reported as an error if compiling with `-fsanitize=null`. The issue is patched in commit 22e07fb204386768e5bcbea563641ea11f96ceb8 and is released in TensorFlow versions 2.2.1, or 2.3.1.
Why it matters now
SSVC decision points
Not available: CISA has not published SSVC decision points for this record.
Affected products
| Vendor | Product | Affected versions | Fixed in | Status | Source |
|---|---|---|---|---|---|
| tensorflow | = 2.2.0; = 2.3.0 | — | No fix listed | CNA | |
| — | tensorflow (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-q8qj-fc9q-cphr |
| — | tensorflow (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-q8qj-fc9q-cphr |
| — | tensorflow-cpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-q8qj-fc9q-cphr |
| — | tensorflow-cpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-q8qj-fc9q-cphr |
| — | tensorflow-gpu (PyPI) | 2.2.0 to before 2.2.1 | 2.2.1 | Patch available | GHSA-q8qj-fc9q-cphr |
| — | tensorflow-gpu (PyPI) | 2.3.0 to before 2.3.1 | 2.3.1 | Patch available | GHSA-q8qj-fc9q-cphr |
- tensorflow VendorGoogle Affected = 2.2.0; = 2.3.0 Fixed in — No fix listed CNA
- tensorflow (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-q8qj-fc9q-cphr
- tensorflow (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-q8qj-fc9q-cphr
- tensorflow-cpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-q8qj-fc9q-cphr
- tensorflow-cpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-q8qj-fc9q-cphr
- tensorflow-gpu (PyPI) Vendor— Affected 2.2.0 to before 2.2.1 Fixed in 2.2.1 Patch available GHSA-q8qj-fc9q-cphr
- tensorflow-gpu (PyPI) Vendor— Affected 2.3.0 to before 2.3.1 Fixed in 2.3.1 Patch available GHSA-q8qj-fc9q-cphr
Remediation
- Fix · GHSA-q8qj-fc9q-cphr tensorflow (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-q8qj-fc9q-cphr tensorflow (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-q8qj-fc9q-cphr tensorflow-cpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-q8qj-fc9q-cphr tensorflow-cpu (PyPI) Fixed in 2.3.1 Advisory →
- Fix · GHSA-q8qj-fc9q-cphr tensorflow-gpu (PyPI) Fixed in 2.2.1 Advisory →
- Fix · GHSA-q8qj-fc9q-cphr tensorflow-gpu (PyPI) Fixed in 2.3.1 Advisory →
Fixed in the same release
Records fixed by the same vendor advisory or release, as the CNA lists them.
- Advisory ·
tensorflow — openSUSE-SU-2020:1766
16 records Highest priority Priority MEDIUM 6 MEDIUM, 10 LOW
Other records, highest priority first
- TI-2020-11980 Data corruption in tensorflow-litePriority MEDIUM 44
- TI-2020-11977 Data leak in TensorflowPriority MEDIUM 44
- TI-2020-11979 Segfault and data corruption in tensorflow-litePriority MEDIUM 41
Timeline
- 2026-10-02 Threatist record created from CVE-2020-15191
- 2026-10-03 Alias added: GHSA-q8qj-fc9q-cphr
References
Advisory 3
Other 4
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2020-271.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2020-306.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2020-114.yaml
- https://github.com/tensorflow/tensorflow
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-2020-15191 · CVE Program
- CVE-2020-15191 · NVD
- FIRST EPSS
- GHSA-q8qj-fc9q-cphr · GitHub Advisory Database · CC BY 4.0
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