CVE-2017-14981
5.4 · MEDIUMOverview
CVE-2017-14981 is a medium-severity vulnerability affecting atutor atutor. It was published on October 3, 2017 and has a CVSS 3.0 base score of 5.4 (MEDIUM).
This vulnerability has a CVSS 3.0 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
Cross-Site Scripting (XSS) was discovered in ATutor before 2.2.3. The vulnerability exists due to insufficient filtration of data (url in /mods/_standard/rss_feeds/edit_feed.php). An attacker could inject arbitrary HTML and script code into a browser in the context of the vulnerable website.
Remediation
Check the references section for vendor advisories and patches from atutor. Update atutor 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 |
|---|---|---|---|
| atutor | atutor | 0 | Affected |
Frequently Asked Questions
What is CVE-2017-14981?
CVE-2017-14981 is a medium-severity vulnerability affecting atutor atutor. It was published on October 3, 2017 and has a CVSS 3.0 base score of 5.4 (MEDIUM).
How severe is CVE-2017-14981?
This vulnerability has a CVSS 3.0 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-2017-14981?
Check the references section for vendor advisories and patches from atutor. Update atutor 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-2017-14981?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-14981 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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