CVE-2020-15213
4.0 · MEDIUMOverview
CVE-2020-15213 is a medium-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 4.0 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 4.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
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
| Vendor | Product | Versions | Status |
|---|---|---|---|
| tensorflow | >= 2.2.0, < 2.2.1 | Affected |
References
Frequently Asked Questions
What is CVE-2020-15213?
CVE-2020-15213 is a medium-severity vulnerability affecting google tensorflow. It was published on September 25, 2020 and has a CVSS 3.1 base score of 4.0 (MEDIUM).
How severe is CVE-2020-15213?
This vulnerability has a CVSS 3.1 base score of 4.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2020-15213?
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-2020-15213?
CyberStrike's AI-powered security agents can automatically detect CVE-2020-15213 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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AI agents map your attack surface to find vulnerabilities like this one.
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