Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted config
Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted configuration file.
Affected software
Click a technology to see all vulnerabilities affecting it.
| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | tensorflow | >= 1.1.0, < 1.7.1 | 1.7.1 |
| Python (PyPI) | tensorflow-cpu | < 1.7.1 | 1.7.1 |
| Python (PyPI) | tensorflow-gpu | < 1.7.1 | 1.7.1 |
References
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2018-006.md
- https://github.com/advisories/GHSA-q492-f7gr-27rp
- https://nvd.nist.gov/vuln/detail/CVE-2018-10055
- https://github.com/tensorflow/tensorflow/commit/c89ab82a82585cdaa90bf4911980e9e845909e78
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2019-222.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2019-229.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2019-204.yaml
- https://github.com/tensorflow/tensorflow
- CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:H- Weakness (CWE)
CWE-119- Platform
- Python (PyPI)
- Package
tensorflow, tensorflow-cpu, tensorflow-gpu- Disclosed
- 24.04.2019
- Updated
- 11.10.2026 12:20
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2019-204 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2019-222 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-q492-f7gr-27rp - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2019-229 - PyPA Advisory Database; CC BY 4.0
Vulnerability history: tensorflow-cpu
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 430
- First → latest
- 04.2019 07.2024
- Without a fix
- 0
- Exploited in attacks
- 0
Severity breakdown
- Critical 6
- High 111
- Medium 208
- Low 105
Disclosures per year
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 21
- 2024: 1
- 2025: 0
- 2026: 0
-
Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 could cause a crash or read from other parts of process memory via a crafted config this entry
Know which vulnerabilities affect your application
With the DockRay integration and software inventory enabled, DockRay checks reported component versions against known vulnerabilities and notifies you about confirmed matches. Coverage depends on the supported technology and available advisory data.