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CVE-2026-65581 – Unauthenticated PHP Object Injection (RCE) – AI ANN WordPress Theme <= 1.29.0

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Summary

CVE-2026-65581 is an unauthenticated PHP Object Injection vulnerability in the AI ANN WordPress theme (by Axiomthemes) in all versions up to and including 1.29.0. The flaw stems from deserialization of untrusted data and can be exploited over the network without authentication, earning a CVSS v3.1 base score of 9.8 (Critical).

Technical details

  • Root cause: Deserialization of untrusted, attacker-controlled data (CWE-502), allowing injection of arbitrary PHP objects.
  • Trigger conditions: No authentication or user interaction is required; the attack complexity is low.
  • Attack vector: Network (remote). An attacker submits crafted serialized data to the vulnerable theme.
  • Impact: Injected PHP objects can lead to high impact on confidentiality, integrity, and availability. Where a suitable POP chain is present, this can escalate to remote code execution and full site compromise.

Affected software

  • AI ANN WordPress theme (Axiomthemes) — all versions <= 1.29.0.

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: No fixed version was available at the time of publication. Monitor the vendor for a release later than 1.29.0 and update as soon as one is published.
  • If no patch: Consider deactivating or removing the AI ANN theme until a fix is available. Restrict access to WordPress endpoints and place the site behind a web application firewall with rules to block PHP Object Injection / serialized-payload attempts.

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: /wp-content/themes/ann/

References

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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

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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