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CVE-2026-32551 – Unauthenticated SQL Injection – Woo Essential WordPress Plugin (≤ 4.3.0)

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Summary

CVE-2026-32551 is an unauthenticated SQL Injection vulnerability (CWE-89) affecting the Woo Essential WordPress plugin, developed by DiviNext, in versions up to and including 4.3.0. The flaw allows an attacker to send crafted input that is improperly neutralized before being used in an SQL query, enabling execution of arbitrary SQL commands without any authentication or user interaction. The vulnerability 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) within the Woo Essential plugin codebase.
  • Trigger conditions: No authentication or privileges are required, and no user interaction is needed to exploit the flaw.
  • Attack vector: Network-based — a remote, unauthenticated attacker can submit malicious input directly to a vulnerable WordPress site running the affected plugin.
  • Impact: High confidentiality impact and partial (low) availability impact, consistent with unauthenticated database querying and potential disruption; the scope is changed, indicating the vulnerability can affect resources beyond the vulnerable component itself.

Affected software

  • Woo Essential (WordPress plugin by DiviNext) — all versions up to and including 4.3.0

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 Woo Essential to a version newer than 4.3.0 as soon as a fixed release is available from the vendor.
  • If no patch is yet available: Restrict or disable public access to the affected plugin’s functionality, apply a web application firewall (WAF) rule to filter SQL injection attempts, and monitor site and database logs for anomalous query patterns until an official patch is confirmed and applied.

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/woo-essential/

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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  • Mapping of all Assets with this Technology
  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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