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PatchSiren cyber security CVE debrief

CVE-2026-39530 SpeakOut! CVE debrief

CVE-2026-39530 is a critical vulnerability in the SpeakOut! Email Petitions plugin for WordPress, affecting versions up to and including 4.6.5. This vulnerability allows unauthenticated attackers to inject malicious SQL queries, potentially leading to data breaches and other security issues. The vulnerability has a CVSS v3.1 score of 9.3, indicating a critical severity level.

Vendor
SpeakOut!
Product
SpeakOut! Email Petitions
CVSS
CRITICAL 9.3
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 SpeakOut! Email Petitions plugin, particularly those using versions <= 4.6.5, should be aware of this vulnerability and take immediate action to mitigate the risk.

Technical summary

The vulnerability is caused by a lack of proper input sanitization, allowing attackers to inject malicious SQL queries. The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L.

Defensive priority

High

Recommended defensive actions

  • Update the SpeakOut! Email Petitions plugin to a version greater than 4.6.5.
  • Implement additional security measures, such as monitoring database activity and restricting access to sensitive data.

Evidence notes

Evidence for this vulnerability comes from Patchstack, a reputable security research firm.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-39530 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-39530

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

  • CVE-2026-39530 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-39530

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

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.