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CVE-2026-78286 – Unauthenticated PHP Object Injection – Geo Controller WordPress Plugin (≤ 8.9.8)

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Summary

CVE-2026-78286 is an unauthenticated PHP Object Injection vulnerability in the Geo Controller WordPress plugin (cf-geoplugin) by INFINITUM FORM, affecting all versions up to and including 8.9.8. The flaw arises from unsafe deserialization of untrusted data and carries a CRITICAL CVSS v3.1 base score of 9.8, as it can be exploited remotely without authentication or user interaction.

Technical details

  • Root cause: The plugin deserializes untrusted, attacker-controlled input using unsafe PHP deserialization functions without proper validation (CWE-502: Deserialization of Untrusted Data).
  • Trigger conditions: An attacker sends a crafted serialized PHP object to a reachable plugin endpoint; no authentication, prior access, or user interaction is required.
  • Attack vector: Network — the vulnerability is remotely exploitable over HTTP/HTTPS against any internet-facing WordPress site running the vulnerable plugin.
  • Impact: Successful exploitation can lead to PHP Object Injection, which — depending on other "gadget chains" present in the WordPress environment — can escalate to arbitrary file deletion, data manipulation, or remote code execution, with full loss of confidentiality, integrity, and availability.

Affected software

  • Geo Controller (cf-geoplugin) WordPress plugin, all versions up to and including 8.9.8.

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: Update the Geo Controller plugin to version 8.9.9 or later, which resolves this vulnerability.
  • If immediate patching is not possible: Consider disabling or removing the plugin until it can be updated, and restrict/monitor access to the WordPress site to reduce exposure while the update is scheduled. A web application firewall may help detect and block malicious serialized-object payloads as an interim measure.

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/cf-geoplugin/

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

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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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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