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VulnerabilityPublished Updated

CVE-2024-1698: NotificationX (WordPress plugin) · SQL Injection

Affects NotificationX (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · public detection template (Nuclei) · 77% EPSS · CVSS 9.8 Critical.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score
9.8Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
77.5% chance of exploitation in 30 days – higher than 99% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Feb 2024

  2. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  3. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  4. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
wpdevteam NotificationX – FOMO, Live Sales Notification, WooCommerce Sales Popup, GDPR, Social Proof, Announcement Banner & Floating Notification BarAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, it is recommended to disable or remove the vulnerable plugin version to prevent exploitation. Monitor official channels from wpdevteam for updates and apply patches promptly once available.

Description

The NotificationX – Best FOMO, Social Proof, WooCommerce Sales Popup & Notification Bar Plugin With Elementor plugin for WordPress is vulnerable to SQL Injection via the 'type' parameter in all versions up to, and including, 2.8.2 due to insufficient escaping on the user supplied parameter and lack of sufficient preparation on the existing SQL query. This makes it possible for unauthenticated attackers to append additional SQL queries into already existing queries that can be used to extract sensitive information from the database.

References

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