CVE-2020-15196
8.5 · HIGHOverview
CVE-2020-15196 is a high-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 8.5 (HIGH).
This vulnerability has a CVSS 3.1 base score of 8.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
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.
Remediation
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
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References
Frequently Asked Questions
What is CVE-2020-15196?
CVE-2020-15196 is a high-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 8.5 (HIGH).
How severe is CVE-2020-15196?
This vulnerability has a CVSS 3.1 base score of 8.5, rated HIGH. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2020-15196?
Check the references section for vendor advisories and patches from google. Update tensorflow to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2020-15196?
CyberStrike's AI-powered security agents can automatically detect CVE-2020-15196 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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