Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference.
Priority LOW 29CWE-476Published · Updated
Key facts
- Attack vector
- Network
- Privileges required
- None
- User interaction
- Required
- Attack complexity
- Low
- Impact type
- Denial of service
- Confidentiality · integrity · availability
- None · None · High
- Fix status
- Fixed
Attack profile from CVSS 3.0 · NVD. Fix status from CNA and GitHub. Impact type from CWE-476.
Summary
Google TensorFlow 1.6.x and earlier is affected by: Null Pointer Dereference. The type of exploitation is: context-dependent.
Why it matters now
EPSS 0.00461 40th percentileScored 2026-11-07
Fix Fixed tensorflow (PyPI): 1.6.0tensorflow-gpu (PyPI): 1.6.0
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 |
|---|---|---|---|---|---|
| — | — | all versions | — | No fix listed | CNA |
| — | tensorflow (PyPI) | 1.0.0 to before 1.6.0 | 1.6.0 | Patch available | GHSA-jfq2-rj7f-9gvf |
| — | tensorflow-gpu (PyPI) | 1.0.0 to before 1.6.0 | 1.6.0 | Patch available | GHSA-jfq2-rj7f-9gvf |
- — Vendor— Affected all versions Fixed in — No fix listed CNA
- tensorflow (PyPI) Vendor— Affected 1.0.0 to before 1.6.0 Fixed in 1.6.0 Patch available GHSA-jfq2-rj7f-9gvf
- tensorflow-gpu (PyPI) Vendor— Affected 1.0.0 to before 1.6.0 Fixed in 1.6.0 Patch available GHSA-jfq2-rj7f-9gvf
Remediation
- Fix · GHSA-jfq2-rj7f-9gvf tensorflow (PyPI) Fixed in 1.6.0 Advisory →
- Fix · GHSA-jfq2-rj7f-9gvf tensorflow-gpu (PyPI) Fixed in 1.6.0 Advisory →
Timeline
- 2026-10-02 Threatist record created from CVE-2018-7576
- 2026-10-03 Alias added: GHSA-jfq2-rj7f-9gvf
References
Patch 1
Advisory 2
Other 5
- https://github.com/tensorflow/tensorflow/commit/c48431588e7cf8aff61d4c299231e3e925144df8
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-224.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-231.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-206.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-2018-7576 · CVE Program
- CVE-2018-7576 · NVD
- FIRST EPSS
- GHSA-jfq2-rj7f-9gvf · GitHub Advisory Database · CC BY 4.0
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