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CVE-2026-19092 – Unauthenticated Arbitrary PHP Function Invocation – Tutor LMS WordPress Plugin (2.1

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Summary

CVE-2026-19092 is a critical, unauthenticated vulnerability in the Tutor LMS WordPress plugin caused by improper handling of request data during template rendering, which allows attackers to invoke arbitrary zero-argument PHP functions and retrieve their output. The flaw affects Tutor LMS versions 2.1.3 through versions prior to 4.0.6 and carries a CVSS v3.1 base score of 9.8 (Critical), reflecting full compromise of confidentiality, integrity, and availability without authentication or user interaction.

Technical details

  • Root cause: The plugin fails to prevent request data (e.g., query/POST parameters) from overwriting internal variables while rendering templates, a form of PHP variable/template variable shadowing.
  • Trigger conditions: An attacker sends a crafted, unauthenticated HTTP request to a site running the vulnerable plugin; no login or user interaction is required.
  • Attack vector: Network-based (AV:N), low attack complexity (AC:L), no privileges (PR:N), no user interaction (UI:N).
  • Impact: Successful exploitation lets an attacker invoke arbitrary zero-argument PHP functions and read their return values, which can be leveraged to destroy user sessions, delete WordPress options, or drop database tables — resulting in high impact to confidentiality, integrity, and availability.

Affected software

  • Tutor LMS WordPress plugin, versions 2.1.3 up to (but not including) 4.0.6

Severity

  • CVSS v3.1 Base Score: 9.8 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Upgrade Tutor LMS to version 4.0.6 or later, where the template variable overwrite issue has been fixed.
  • If immediate patching is not possible: Restrict or monitor unauthenticated access to the plugin’s front-end template rendering endpoints, and consider temporarily deactivating the plugin until the update can be applied. A web application firewall may help detect anomalous request parameters targeting template rendering paths, though this is not a substitute for patching.

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 response body: /wp-content/plugins/tutor/

References

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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

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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.

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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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