PatchSiren cyber security CVE debrief
CVE-2026-48870 King Addons CVE debrief
A Cross Site Scripting (XSS) vulnerability was discovered in the King Addons for Elementor plugin. This issue allows a subscriber to inject malicious scripts into the webpage, potentially leading to unauthorized actions or data theft. The vulnerability has been rated with a CVSS score of 6.5, indicating a medium severity level.
- Vendor
- King Addons
- Product
- King Addons for Elementor
- CVSS
- MEDIUM 6.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-06-15
- Original CVE updated
- 2026-06-15
- Advisory published
- 2026-06-15
- Advisory updated
- 2026-06-15
Who should care
Users of the King Addons for Elementor plugin, particularly those with subscriber-level access, should be aware of this vulnerability and take necessary precautions.
Technical summary
The vulnerability exists in the King Addons for Elementor plugin versions <= 51.1.62. It is categorized under CWE-79, which refers to Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting'). The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:L.
Defensive priority
MEDIUM
Recommended defensive actions
- Update the King Addons for Elementor plugin to a version that fixes this vulnerability.
- Limit subscriber-level access to sensitive areas of the website.
- Monitor website activity for suspicious behavior.
Evidence notes
Evidence for this CVE was provided by Patchstack, as referenced in the NVD detail page.
Sources and references
Verified primary and authoritative sources
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CVE-2026-48870 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-48870
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-48870 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-48870
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
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.