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CVE-2026-14839 – Unauthenticated Information Disclosure – Mapster WP Maps WordPress Plugin before 1.

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Summary

CVE-2026-14839 is an unauthenticated information disclosure vulnerability in the Mapster WP Maps WordPress plugin before version 1.24.0. A public REST endpoint performs no authorization or post-status validation, allowing anonymous attackers to read the title and full content of any post — including unpublished ones. The issue is rated High (CVSS 7.5).

Technical details

  • Root cause: A public REST API endpoint registered by the plugin performs no authorization check and no post-status validation.
  • Trigger conditions: An unauthenticated request to the affected REST endpoint; no authentication or user interaction required.
  • Attack vector: Network (remote, over HTTP/HTTPS).
  • Impact: Disclosure of the title and full content of any post regardless of status, including draft, pending, private, and trashed posts, resulting in exposure of confidential content.

Affected software

  • Mapster WP Maps WordPress plugin: all versions before 1.24.0.

Severity

  • CVSS v3.1 Base Score: 7.5 (High)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Mitigation and recommended actions

  • Immediate: Update the Mapster WP Maps plugin to version 1.24.0 or later.
  • If no patch can be applied: Restrict access to the plugin’s REST API endpoints at the web server or WAF layer, and limit anonymous access to the site’s REST API until the update is deployed.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Raw HTTP response body: wpgmp_local

References

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1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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