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CVE-2024-1782VulnerabilityPublished Updated

CVE-2024-1782: Blue Triad EZAnalytics (WordPress plugin) · Cross-site Scripting

Affects Blue Triad EZAnalytics (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 6.1 Medium.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 3.1 base score
6.1Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 31% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 5 Mar 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

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

    Not in CISA KEV and no source reports exploitation

  5. 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 2026-10-26.

What to do

Affected software

ProductAffectedFixed in
jbahlquist Blue Triad EZAnalyticsAffected
  • =0
Fixed in–

AI-suggested

Users should monitor the vendor's advisory channels for updates. Until a fix is released, consider disabling or removing the Blue Triad EZAnalytics plugin if feasible, or apply web application firewall (WAF) rules to block malicious input targeting the 'bt_webid' parameter. Avoid clicking on suspicious links that may exploit this vulnerability.

Description

The Blue Triad EZAnalytics plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'bt_webid' parameter in all versions up to, and including, 1.0 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that execute if they can successfully trick a user into performing an action such as clicking on a link.

References

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