CVE-2022-23201
6.1 · MEDIUMOverview
CVE-2022-23201 is a medium-severity vulnerability affecting adobe robohelp. It was published on July 15, 2022 and has a CVSS 3.1 base score of 6.1 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.1, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
Adobe RoboHelp versions 2020.0.7 (and earlier) is affected by a reflected Cross-Site Scripting (XSS) vulnerability. If an attacker is able to convince a victim to visit a URL referencing a vulnerable page, malicious JavaScript content may be executed within the context of the victim's browser.
Remediation
Check the references section for vendor advisories and patches from adobe. Update robohelp 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 |
|---|---|---|---|
| adobe | robohelp | 0 | Affected |
Frequently Asked Questions
What is CVE-2022-23201?
CVE-2022-23201 is a medium-severity vulnerability affecting adobe robohelp. It was published on July 15, 2022 and has a CVSS 3.1 base score of 6.1 (MEDIUM).
How severe is CVE-2022-23201?
This vulnerability has a CVSS 3.1 base score of 6.1, 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-2022-23201?
Check the references section for vendor advisories and patches from adobe. Update robohelp 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-2022-23201?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-23201 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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