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CVE-2024-0821VulnerabilityPublished Updated

CVE-2024-0821: Cost of Goods: Product Cost & Profit Calculator for WooCommerce (WordPress plugin) · Cross-site Scripting

Affects Cost of Goods: Product Cost & Profit Calculator for WooCommerce (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 33% 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 20 Feb 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
wpcodefactory Cost of Goods: Product Cost & Profit Calculator for WooCommerceAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is available, users should exercise caution when clicking links related to the affected plugin and consider disabling or removing the plugin if feasible. Monitor the vendor's communications for updates on patches or official mitigations.

Description

The Cost of Goods Sold (COGS): Cost & Profit Calculator for WooCommerce plugin for WordPress is vulnerable to Reflected Cross-Site Scripting via the 'section' parameter in all versions up to, and including, 3.2.8 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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