WordPress Plugin Hardcoded Credentials Enable Unauthenticated File Access

The 爱采集数据采集和发布插件 WordPress plugin through 1.0.0 does not require a per-install secret for one of its unauthenticated endpoints, relying on a hardcoded default, and does not validate the URLs or destination paths it is given, allowing unauthenticated attackers to read arbitrary files from the server, force it to issue arbitrary requests and retrieve the responses, and write attacker-supplied content outside the uploads directory.

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

The 爱采集数据采集和发布插件 WordPress plugin through version 1.0.0 contains a critical vulnerability stemming from hardcoded default credentials in unauthenticated endpoints, combined with insufficient URL validation. This allows attackers to bypass authentication entirely, read sensitive files from the server, perform server-side request forgery (SSRF) attacks to make arbitrary network requests, and write malicious content to arbitrary locations on the filesystem. Any WordPress installation with this plugin active is immediately vulnerable to complete server compromise without requiring user interaction or valid credentials. The vulnerability affects all organizations using this data collection plugin, particularly those in regions where the plugin is popular.

Casky's 331 mapped security skills leverage Claude AI with extended reasoning to detect the attack patterns associated with MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0006 (Credential Access). Practitioners using Casky would identify suspicious patterns including: unauthenticated requests to plugin endpoints with file path traversal sequences (CWE-918 - SSRF), unusual outbound connections initiated from WordPress processes (indicating SSRF exploitation), and POST/GET requests attempting to write files outside designated directories. The platform's skills would flag hardcoded credentials in plugin source code analysis, detect missing authentication checks on critical endpoints, and recognize URL validation bypass attempts. Security teams would see findings correlating failed authentication attempts followed by successful unauthenticated API calls, outbound requests to internal infrastructure, and file system writes in unexpected locations—all indicators of active exploitation of 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 →

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-2026-77012.

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-2026-77012

Casky has 331 skills that investigate the attack patterns behind CVE-2026-77012. Run one and get CVSS-scored findings in 3 minutes.

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