Server-Side Request Forgery in Hide My WP Ghost Plugin

Server-Side Request Forgery (SSRF) vulnerability in John Darrel Hide My WP Ghost allows Server Side Request Forgery. This issue affects Hide My WP Ghost: from n/a through 7.0.09.

Casky was already ahead

This CVE exploits attack patterns that Casky's 331matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

Hide My WP Ghost, a WordPress security plugin designed to obscure WordPress installations, contains a critical Server-Side Request Forgery (SSRF) vulnerability affecting versions through 7.0.09. SSRF vulnerabilities allow attackers to abuse server functionality to make unintended requests from the server itself, potentially reaching internal services, cloud metadata endpoints, or other restricted resources. This is particularly dangerous in WordPress environments where plugins often run with elevated privileges and access to sensitive infrastructure. Any WordPress site using this plugin becomes a pivot point for attackers to scan internal networks, exfiltrate data, or compromise backend systems—undermining the very security posture the plugin claims to provide.

Casky's 331 mapped skills leverage Claude's extended reasoning to detect the reconnaissance and exploitation patterns associated with SSRF attacks mapped to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0006 (Credential Access). Practitioners using Casky would observe detection patterns for HTTP/HTTPS requests originating from the compromised plugin to suspicious internal IP ranges (10.0.0.0/8, 172.16.0.0/12, 192.168.0.0/16), AWS metadata endpoints (169.254.169.254), or unusual outbound connections to localhost services. The skill set would flag anomalous POST/GET requests containing URL parameters typically used in SSRF exploitation, alongside behavioral indicators such as error responses from internal services or timing patterns consistent with network reconnaissance. This multi-layered behavioral analysis helps practitioners identify active exploitation attempts before attackers establish deeper persistence.

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Casky Risk Score

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EPSS Probability

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Shodan Exposure

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GreyNoise Signal

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Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

331 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-81806.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

Run

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0006

Investigate the attack patterns behind CVE-2026-81806

Casky has 331 skills that investigate the attack patterns behind CVE-2026-81806. Run one and get CVSS-scored findings in 3 minutes.

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