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CVE-2016-20073 mattkaye CVE debrief

CVE-2016-20073 is an SQL injection vulnerability in the Answer My Question 1.3 plugin for WordPress. The vulnerability allows unauthenticated attackers to execute arbitrary SQL queries by injecting malicious code through the 'id' POST parameter. Attackers can submit crafted SQL statements to the modal.php endpoint to extract sensitive database information, including WordPress terms and configuration data. The vulnerability has a CVSS score of 8.8 and is classified as HIGH severity.

Vendor
mattkaye
Product
Answer My Question
CVSS
HIGH 8.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-15
Original CVE updated
2026-06-15
Advisory published
2026-06-15
Advisory updated
2026-06-15

Who should care

Users of the Answer My Question 1.3 plugin for WordPress should be aware of this vulnerability and take steps to mitigate it.

Technical summary

The vulnerability is caused by a lack of proper input validation in the modal.php endpoint of the Answer My Question 1.3 plugin. This allows attackers to inject malicious SQL code, which can be used to extract sensitive information from the database.

Defensive priority

HIGH

Recommended defensive actions

  • Update the Answer My Question plugin to a version that is not vulnerable.
  • Use a Web Application Firewall (WAF) to detect and prevent SQL injection attacks.
  • Monitor your website for suspicious activity.

Evidence notes

The vulnerability was reported by an unknown vendor and has a low confidence level.

Sources and references

Verified primary and authoritative sources

  • CVE-2016-20073 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2016-20073

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2016-20073 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2016-20073

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.