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CVE-2026-65546 – Unauthenticated SQL Injection – Qode Tours WordPress Plugin <= 3.1.3.1

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Summary

CVE-2026-65546 is an unauthenticated SQL injection vulnerability in the Qode Tours WordPress plugin affecting all versions up to and including 3.1.3.1. An unauthenticated, remote attacker can inject malicious SQL into a database query, exposing sensitive data held by the WordPress site. It carries a CVSS v3.1 base score of 9.3 (Critical).

Technical details

  • Root cause: Improper neutralization of special elements used in an SQL command (CWE-89); attacker-supplied input is passed into a database query without adequate sanitization.
  • Trigger conditions: No authentication or user interaction is required; the flaw is reachable by any remote party.
  • Attack vector: Network. The injection is characterized as blind SQL injection.
  • Impact: High confidentiality impact (unauthorized access to database contents) with a low availability impact and a changed scope, per the CVSS vector.

Affected software

  • Qode Tours WordPress plugin: all versions up to and including 3.1.3.1.

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: Upgrade the Qode Tours plugin to version 3.1.3.2 or later, since all releases up to and including 3.1.3.1 are affected.
  • If no patch can be applied: Restrict access to the affected WordPress site with a web application firewall configured to block SQL injection payloads, and limit network exposure of the application until the update is deployed.

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/plugins/qode-tours/

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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