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CVE-2017-1000035

6.1 · MEDIUM
Published Jul 17, 2017 tt-rss CWE-79 EPSS 0.89% (57th pctl)

Overview

CVE-2017-1000035 is a medium-severity vulnerability affecting tt-rss tiny_tiny_rss. It was published on July 17, 2017 and has a CVSS 3.0 base score of 6.1 (MEDIUM).

This vulnerability has a CVSS 3.0 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

Tiny Tiny RSS before 829d478f is vulnerable to XSS window.opener attack

Remediation

Check the references section for vendor advisories and patches from tt-rss. Update tiny_tiny_rss 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

Frequently Asked Questions

What is CVE-2017-1000035?

CVE-2017-1000035 is a medium-severity vulnerability affecting tt-rss tiny_tiny_rss. It was published on July 17, 2017 and has a CVSS 3.0 base score of 6.1 (MEDIUM).

How severe is CVE-2017-1000035?

This vulnerability has a CVSS 3.0 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-2017-1000035?

Check the references section for vendor advisories and patches from tt-rss. Update tiny_tiny_rss 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-2017-1000035?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-1000035 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.