Code InjectionWeakness · CWE-94

CVE-2025-14509

HIGH · 7.2 CVSS v3.1 Published 2025-12-30
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
78/100
Remediation priority · High
Remotely reachable Zero-click

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
The Lucky Wheel for WooCommerce – Spin a Sale plugin for WordPress is vulnerable to PHP Code Injection in all versions up to, and including, 1.1.13. This is due to the plugin using eval() to execute user-supplied input from the 'Conditional Tags' setting without proper validation or sanitization. This makes it possible for authenticated attackers, with Administrator-level access and above, to execute arbitrary PHP code on the server. In WordPress multisite installations, this allows Site Administrators to execute arbitrary code, a capability they should not have since plugin/theme file editing is disabled for non-Super Admins in multisite environments.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

The Lucky Wheel for WooCommerce plugin uses eval() to execute user-supplied input from the 'Conditional Tags' setting without any validation or sanitization. This allows authenticated administrators (or Site Administrators in multisite) to inject and execute arbitrary PHP code on the server by supplying malicious PHP expressions in this setting.

MitigationRemove all eval() usage from the plugin and replace with a safe alternative that does not execute dynamic code. Update to the latest patched version when available, and review administrator access permissions in multisite installations.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
High
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Verify Lucky Wheel for WooCommerce plugin is installed
    Check the WordPress plugin directory for the 'lucky-wheel-for-woocommerce' folder, or query the wp_options table for the active_plugins option
    Affected if Plugin folder exists in /wp-content/plugins/ or appears in active plugin list
  2. Determine installed plugin version
    Open lucky-wheel-for-woocommerce/lucky-wheel.php and locate the 'Version:' header, or check the plugin metadata via WordPress admin plugins list
    Affected if Installed version differs from the latest patched version (when available)
  3. Locate the Conditional Tags setting
    Navigate to WooCommerce > Lucky Wheel settings in WordPress admin, or query the wp_options table for options named like 'lucky_wheel' or containing 'conditional_tags'
    Affected if The Conditional Tags field contains any non-empty value
  4. Identify if eval() processes this setting
    Search the plugin source code for 'eval(' calls, specifically in files that handle the Conditional Tags setting or any conditional logic related to it
    Affected if eval() is present in the code path that processes the Conditional Tags setting value

User is affected if the Lucky Wheel for WooCommerce plugin is installed, uses an unpatched version, and has any value populated in the Conditional Tags setting that gets passed to eval().

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Remove all eval() usage from the plugin and replace with a safe alternative that does not execute dynamic code. Update to the latest patched version when available, and review administrator access permissions in multisite installations.

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing3.0 h
  • Review / QA2.0 h
11.0 hours of engineering $1,930
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Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-14509 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
  • No weaponised exploit code, or anything meant to cause harm
  • No spam, self-promotion, credentials, or personal data