CVE-2022-31777
5.4 · MEDIUMOverview
CVE-2022-31777 is a medium-severity vulnerability affecting apache spark. It was published on November 1, 2022 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and earlier, and 3.3.0, allows remote attackers to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into the logs which would be returned in logs rendered in the UI.
Remediation
Check the references section for vendor advisories and patches from apache. Update spark 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 |
|---|---|---|---|
| apache | spark | >= 0, < 3.2.2 | Affected |
Frequently Asked Questions
What is CVE-2022-31777?
CVE-2022-31777 is a medium-severity vulnerability affecting apache spark. It was published on November 1, 2022 and has a CVSS 3.1 base score of 5.4 (MEDIUM).
How severe is CVE-2022-31777?
This vulnerability has a CVSS 3.1 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2022-31777?
Check the references section for vendor advisories and patches from apache. Update spark 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-2022-31777?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-31777 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
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