Ezoic WordPress Plugin Unauthenticated Database Export Flaw

The Ezoic WordPress plugin before 2.23.1 does not properly restrict access to some of its content export functionality, allowing unauthenticated attackers to trigger a server-side export of the site's database, including user password hashes and password reset tokens, as well as to persistently change some of its settings.

Casky was already ahead

This CVE exploits attack patterns that Casky's 283matched 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

CVE-2026-18789 exposes a critical access control weakness in the Ezoic WordPress plugin versions prior to 2.23.1. The vulnerability allows unauthenticated attackers to bypass authentication mechanisms and trigger server-side database exports, compromising sensitive data including user password hashes and password reset tokens. This affects any WordPress installation running the vulnerable plugin, making it particularly dangerous given WordPress's ubiquity. The ability to also persistently modify plugin settings amplifies the threat, potentially enabling follow-on attacks or persistent backdoor access. Organizations using this plugin face immediate risk of credential theft, account takeover, and unauthorized administrative access.

Casky's 283 matched security skills leverage Claude's extended reasoning to detect the attack patterns aligned with MITRE techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky would identify detection signals including: unexpected unauthenticated requests to export endpoints, anomalous database read operations from web-accessible processes, suspicious password hash extraction activities, and unauthorized modification of plugin configuration parameters. The platform's skill-mapping approach enables security teams to correlate these indicators across their environment, flagging exploitation attempts before data exfiltration occurs. By combining behavioral analysis with MITRE ATT&CK context, Casky helps practitioners recognize both the initial compromise vector and the credential harvesting phase of an attack chain targeting this vulnerability.

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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 →

283 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-18789.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

cryptography · low

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2026-18789

Casky has 283 skills that investigate the attack patterns behind CVE-2026-18789. Run one and get CVSS-scored findings in 3 minutes.

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