Improper input validation in Google Tensorflow
CVE-2020-26270
In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
Vulnerability class: Drupalgeddon 2 (CVE-2018-7600)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 4.4 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L.
EPSS exploit prediction
EPSS: 0.002 (6.0th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 6th percentile — 6.0% 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
- Tensorflow — versions < 1.15.5, >= 2.0.0, < 2.0.4, >= 2.1.0, < 2.1.3
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/security/advisories/GHSA-m648-33qf-v3gp (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3 (Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2020-26270?
- CVE-2020-26270 is a medium-severity vulnerability in Google Tensorflow, classified under Improper Input Validation. CVSS score: 4.4/10. Published 2020-12-10.
- How severe is CVE-2020-26270?
- Medium severity. CVSS v3 base score is 4.4 out of 10.