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CVE-2026-15354 – Unauthenticated Privilege Escalation – ACPT (Premium) WordPress Plugin ≤ 2.0.66

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Summary

CVE-2026-15354 is a critical unauthenticated privilege escalation vulnerability in the ACPT (Premium) WordPress plugin, developed by Mauro Cassani. The flaw resides in the plugin’s submit() function and allows an unauthenticated attacker to modify arbitrary WordPress user accounts — including administrator accounts — via public-facing forms that accept anonymous submissions. It carries a CVSS v3.1 score of 9.8 (Critical) and affects all plugin versions up to and including 2.0.66.

Technical details

  • Root cause: The submit() function fails to perform proper authorization checks before passing attacker-controlled data to the WordPress core wp_update_user() function.
  • Trigger conditions: The plugin must expose a public-facing form that permits anonymous (unauthenticated) submissions; an attacker manipulates the target user ID parameter within the submitted data.
  • Attack vector: Network-based, no authentication or user interaction required (AV:N/AC:L/PR:N/UI:N).
  • Impact: By supplying an arbitrary user ID, an attacker can overwrite that user’s email address and password — including for administrator accounts — resulting in full account takeover and complete compromise of confidentiality, integrity, and availability of the affected WordPress site.

Affected software

  • ACPT (Premium) WordPress plugin, versions up to and including 2.0.66

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 the ACPT (Premium) plugin to a version beyond 2.0.66 as soon as a fixed release is available from the vendor; consult the vendor’s official changelog for the specific patched version number.
  • If no patch is available: Disable or remove any public-facing forms built with ACPT that permit anonymous submissions until a fix is applied, or restrict access to those forms at the network/WAF layer to block unauthenticated requests that include user-ID or account-update parameters.

How IONIX identifies potentially affected assets

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

  • Raw response body: /wp-content/plugins/advanced-custom-post-type/

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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