CVE-2020-28923
2.7 · LOWOverview
CVE-2020-28923 is a low-severity vulnerability affecting lightbend play_framework. It was published on December 3, 2020 and has a CVSS 3.1 base score of 2.7 (LOW).
This vulnerability has a CVSS 3.1 base score of 2.7, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
An issue was discovered in Play Framework 2.8.0 through 2.8.4. Carefully crafted JSON payloads sent as a form field lead to Data Amplification. This affects users migrating from a Play version prior to 2.8.0 that used the Play Java API to serialize classes with protected or private fields to JSON.
Remediation
Check the references section for vendor advisories and patches from lightbend. Update play_framework 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 |
|---|---|---|---|
| lightbend | play_framework | 2.8.0 | Affected |
References
Frequently Asked Questions
What is CVE-2020-28923?
CVE-2020-28923 is a low-severity vulnerability affecting lightbend play_framework. It was published on December 3, 2020 and has a CVSS 3.1 base score of 2.7 (LOW).
How severe is CVE-2020-28923?
This vulnerability has a CVSS 3.1 base score of 2.7, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2020-28923?
Check the references section for vendor advisories and patches from lightbend. Update play_framework 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-2020-28923?
CyberStrike's AI-powered security agents can automatically detect CVE-2020-28923 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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