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New CVE Detected

CVE-2026-11976 – Supply Chain Backdoor / Remote Code Execution – MonsterInsights Pro 10.2.0 and 10.2

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Summary

CVE-2026-11976 is a critical supply chain compromise affecting MonsterInsights Pro, a Google Analytics plugin for WordPress. Attackers breached the plugin’s official AWS S3 update distribution bucket and injected a malicious class-system-check.php file into releases 10.2.0 and 10.2.2, creating a covert backdoor (CWE-912: Hidden Functionality) that grants full remote control of affected sites. Severity is rated 10.0 (Critical).

Technical details

  • Root cause: The official update distribution bucket (monster-insights.s3.amazonaws.com) was compromised, allowing attackers to embed a malicious class-system-check.php file directly into legitimate plugin release packages.
  • Trigger conditions: Installing or updating to the backdoored MonsterInsights Pro 10.2.0 or 10.2.2 executes the injected code on the target WordPress site.
  • Malware behavior: Multiple payload variants were identified, all sharing the same AES-256-GCM encryption key. The most severe variant hijacks the MonsterInsights and ExactMetrics update mechanisms and redirects future update checks to attacker infrastructure, creates a persistent backdoor WordPress administrator account, and implements an authentication bypass via a GET parameter. The backdoor persists even after the plugin is removed.
  • Attack vector: Network — malicious code was distributed through compromised cloud infrastructure and executes server-side once installed.
  • Impact: Full compromise of confidentiality, integrity, and availability, including persistent administrative access and attacker-controlled updates.

Affected software

  • MonsterInsights Pro 10.2.0
  • MonsterInsights Pro 10.2.2

Severity

  • CVSS v3.1 base score: 10.0 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: Update MonsterInsights Pro to version 11.0.0 or later, which is unaffected.
  • If a compromised version was installed: Removing the plugin alone is insufficient, as the backdoor persists. Review all WordPress administrator accounts and remove any unauthorized entries, audit for unexpected update-check redirects to external infrastructure, and inspect for the injected class-system-check.php file. Rotate credentials and rebuild from a known-clean state where compromise is confirmed.

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.

  • URL of a loaded script: /wp-content/plugins/google-analytics-for-wordpress/….js

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

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

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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

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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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