Buffer overflow in Google Tensorflow
CVE-2020-15196
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
Vulnerability class: Buffer Overflow
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.5 (High). Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H.
EPSS exploit prediction
EPSS: 0.009 (58.2th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 58th percentile — 58.2% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.009 · newest: 0.009 · change: 0.000
Affected products
- Google Tensorflow — versions 2.3.0
- Tensorflow — versions = 2.3.0
Weakness classification (CWE)
References
- github.com/tensorflow/tensorflow/releases/tag/v2.3.1 (Third Party Advisory)
- github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 (Patch, Third Party Advisory)
- github.com/tensorflow/tensorflow/security/advisories/GHSA-pg59-2f92-5cph (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2020-15196?
- CVE-2020-15196 is a high-severity vulnerability in Google Tensorflow, classified under Improper Restriction of Operations within the Bounds of a Memory Buffer. CVSS score: 8.5/10. Published 2020-09-25.
- How severe is CVE-2020-15196?
- High severity. CVSS v3 base score is 8.5 out of 10.