Resource exhaustion in Google Tensorflow
CVE-2025-55559
An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.layers.Conv2D.
Vulnerability class: DoS (Denial of Service)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.002 (10.4th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 10th percentile — 10.4% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.002 · newest: 0.002 · change: 0.000
Affected products
- Google Tensorflow — versions 2.18.0
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/tensorflow/tensorflow/issues/84205 (Exploit, Issue Tracking)
- gist.github.com/shaoyuyoung/0e7d2a586297ae9c8ed14d8706749efc (Third Party Advisory)
Frequently asked questions
- What is CVE-2025-55559?
- CVE-2025-55559 is a high-severity vulnerability in Google Tensorflow, classified under Uncontrolled Resource Consumption. CVSS score: 7.5/10. Published 2025-09-25.
- How severe is CVE-2025-55559?
- High severity. CVSS v3 base score is 7.5 out of 10.
- Is CVE-2025-55559 known to be exploited?
- 1 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.