Double Free in Google Tensorflow
CVE-2023-25801
TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be…
Vulnerability class: Double Free
EPSS: 0.001 (4.4th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 8.0 (High). Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H.
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.11.1
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security-advisories@github.com (x_refsource_CONFIRM, Patch, Vendor Advisory)
- security-advisories@github.com (Patch, x_refsource_MISC)
Frequently asked questions
- What is CVE-2023-25801?
- CVE-2023-25801 is a high-severity vulnerability in Google Tensorflow, classified under Double Free. CVSS score: 8.0/10. Published 2023-03-25.
- How severe is CVE-2023-25801?
- High severity. CVSS v3 base score is 8.0 out of 10.
- Is CVE-2023-25801 known to be exploited?
- 3 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.