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VulnerabilityPublished Updated

CVE-2026-1648: Performance Monitor (WordPress plugin) · Server-Side Request Forgery (SSRF)

Affects Performance Monitor (WordPress plugin)Source CVE Database V5

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Not known to be exploited · CVSS 7.2 High.

Data as of 1 Nov 2026, 22:58 UTC

CVSS 3.1 base score
7.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 32% 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 21 Mar 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 1 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
qrolicPerformance MonitorAffected
  • <=1.0.6
Fixed in–

AI-suggested

Until an official fix is available, restrict access to the vulnerable REST API endpoint if possible, and monitor for unusual internal requests originating from the server. Avoid exposing internal services that could be leveraged in exploitation chains. Do not rely on generic mitigations unless specifically recommended by the vendor.

Description

The Performance Monitor plugin for WordPress is vulnerable to Server-Side Request Forgery in all versions up to, and including, 1.0.6. This is due to insufficient validation of the 'url' parameter in the '/wp-json/performance-monitor/v1/curl_data' REST API endpoint. This makes it possible for unauthenticated attackers to make web requests to arbitrary locations, including internal services, via the Gopher protocol and other dangerous protocols. This can be exploited to achieve Remote Code Execution by chaining with services like Redis.

References

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