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CVE-2026-66592 – Unauthenticated SQL Injection – rtMedia for WordPress, BuddyPress and bbPress ≤ 4.7

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Summary

CVE-2026-66592 is an unauthenticated SQL injection vulnerability in the rtMedia for WordPress, BuddyPress and bbPress plugin (versions up to and including 4.7.11). The flaw allows an attacker to inject SQL statements without any authentication or user interaction, and carries a CVSS v3.1 base score of 9.3 (Critical). It is tracked under CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Technical details

  • Root cause: improper neutralization of user-supplied input before it is used in an SQL query (CWE-89), enabling blind SQL injection.
  • Trigger conditions: no authentication is required to exploit the vulnerability; the vulnerable functionality is reachable pre-auth.
  • Attack vector: network — the flaw is remotely exploitable over HTTP(S) with low attack complexity and no privileges or user interaction required.
  • Impact: the CVSS vector (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L) reflects a scope change with high confidentiality impact and low availability impact, meaning an attacker can extract data from the underlying WordPress database (and potentially affect other components via the scope change) without modifying data integrity.

Affected software

  • rtMedia for WordPress, BuddyPress and bbPress plugin (WordPress.org slug: buddypress-media) — all versions up to and including 4.7.11.

Severity

  • CVSS v3.1 Base Score: 9.3 (Critical)
  • Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L

Mitigation and recommended actions

  • Immediate: Update the rtMedia for WordPress, BuddyPress and bbPress plugin to version 4.7.12 or later, where the SQL injection has been fixed.
  • If immediate patching is not possible: restrict or disable public access to the plugin’s functionality where feasible, and monitor web server/database logs for anomalous or malformed query patterns targeting the plugin until the update can be applied.

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/buddypress-media/

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

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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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