PatchSiren cyber security CVE debrief
CVE-2017-5961 Ionizecms CVE debrief
CVE-2017-5961 describes a browser-based cross-site scripting issue in Ionize through 1.0.8. The vulnerable code path accepts user-supplied data in the "path" HTTP GET parameter for the Codemirror dialog endpoint and does not filter it sufficiently, allowing an attacker to run arbitrary HTML and script in the context of the vulnerable site. The CVSS v3.0 vector reflects network reachability, low attack complexity, no privileges required, and user interaction.
- Vendor
- Ionizecms
- Product
- Ionize
- CVSS
- MEDIUM 6.1
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2017-02-12
- Original CVE updated
- 2026-05-13
- Advisory published
- 2017-02-12
- Advisory updated
- 2026-05-13
Who should care
Administrators and developers running Ionize instances at or below 1.0.8, especially anyone exposing the admin theme/Codemirror dialog endpoint to authenticated users. Security teams should also care because the impact is browser-side code execution in the site context, which can enable session theft, page tampering, or phishing inside the application.
Technical summary
NVD maps the flaw to CWE-79 (Improper Neutralization of Input During Web Page Generation). The issue is tied to insufficient filtration of the "path" GET parameter passed to "ionize-master/themes/admin/javascript/tinymce/jscripts/tiny_mce/plugins/codemirror/dialog.php". Because the payload is reflected or otherwise rendered into a browser context without proper escaping, attacker-controlled HTML/JavaScript can execute with the origin of the vulnerable website. NVD records the affected CPE as ionizecms:ionize versions through and including 1.0.8 and rates the issue CVSS 3.0 6.1/Medium (AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N).
Defensive priority
Medium. This is not a KEV-listed issue in the supplied corpus, but it is a network-reachable XSS with user interaction required and site-origin impact, so remediation should be prioritized for any exposed or actively used Ionize deployment.
Recommended defensive actions
- Upgrade or replace Ionize instances affected through version 1.0.8, using vendor guidance and project references where available.
- Review the Codemirror dialog endpoint and any similar admin-theme handlers for unescaped reflection of GET parameters.
- Apply strict server-side output encoding and input validation for the "path" parameter and any related request data.
- Limit access to admin interfaces with authentication, network restrictions, and least privilege to reduce exposure.
- If compromise is suspected, invalidate user sessions and review logs for suspicious requests to the dialog.php endpoint.
- Add regression tests or security checks that verify HTML/JavaScript metacharacters are safely encoded in rendered responses.
Evidence notes
The supplied corpus identifies the flaw as insufficient filtration of the "path" GET parameter in the Codemirror dialog endpoint and classifies it as CWE-79. NVD lists the vulnerable Ionize CPE as versions through and including 1.0.8 and provides the CVSS v3.0 vector AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N. References supplied in the record include the official CVE/NVD entries and a GitHub issue marked as Exploit, Patch, Vendor Advisory, supporting the existence of a vendor-tracked remediation path without asserting a specific fixed version beyond the corpus.
Sources and references
Verified primary and authoritative sources
-
CVE-2017-5961 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2017-5961
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2017-5961 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2017-5961
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Mitigation or vendor reference
Unverified legacy reference
URL: https://github.com/ionize/ionize/issues/393
[email protected] - Exploit, Patch, Vendor Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.