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VulnerabilityPublished Updated

CVE-2025-5817: Amazon Products to WooCommerce (WordPress plugin) · Server-Side Request Forgery (SSRF)

Affects Amazon Products to WooCommerce (WordPress plugin)Source CVE Database V5

0

Not known to be exploited · CVSS 7.2 High.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
7.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 16% 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:C/C:L/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 2 Jul 2025

  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 26 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
suhailahmad64 Amazon Products to WooCommerceAffected
  • =0
Fixed in–

AI-suggested

Until an official fix is released, users should consider disabling or removing the vulnerable plugin to prevent exploitation. Monitoring and restricting outbound HTTP requests from the server may help mitigate risk, but these are not definitive solutions. Users should stay alert for vendor updates or security advisories regarding this vulnerability.

Description

The Amazon Products to WooCommerce plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.2.7 via the wcta2w_get_urls(). This makes it possible for unauthenticated attackers to make web requests to arbitrary locations originating from the web application and can be used to query and modify information from internal services.

References

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