Feehi CMS REST API Missing Authentication Bypass

A vulnerability was found in Feehi CMS up to 2.1.1. This vulnerability affects unknown code of the file /api/articles of the component REST API Endpoint. Performing a manipulation results in missing authentication. The attack may be initiated remotely. The exploit has been made public and could be used. The project was informed of the problem early through an issue report but has not responded yet.

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

Feehi CMS versions up to 2.1.1 contain a critical authentication bypass vulnerability in the /api/articles REST API endpoint. An attacker can manipulate requests to this endpoint and gain unauthorized access to article data without providing valid credentials. This vulnerability is particularly concerning because REST APIs are foundational to modern application architecture, and missing authentication controls expose sensitive data and administrative functions to unauthenticated threat actors. Any organization running Feehi CMS 2.1.1 or earlier is at immediate risk, with the threat amplified by public exploit availability and the vendor's lack of response to early disclosure notifications.

Casky's 283 mapped security skills detect this vulnerability pattern by correlating CWE-287 (Improper Authentication) and CWE-306 (Missing Authentication for Critical Function) against MITRE ATT&CK techniques TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky with Claude's extended reasoning capabilities would identify detection patterns including: unauthorized API endpoint access attempts without Bearer tokens or session cookies, anomalous requests to /api/articles bypassing authentication middleware, and privilege escalation indicators where unauthenticated users retrieve administrative article data. The platform flags these behavioral signatures in real-time, enabling security teams to spot exploitation attempts before attackers exfiltrate sensitive content or modify article data maliciously.

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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-2026-13546.

abusing-dpapi-for-credential-access

red teaming · high

Run

abusing-shadow-credentials-for-privesc

red teaming · high

Run

Access with Stolen Session Cookie

penetration testing · medium

Run

MITRE ATT&CK Techniques

TA0004 TA0006

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