Path Traversal and Stored XSS in Digital Publications Plugin

Supsystic Digital Publications 1.6.9 contains a path traversal vulnerability in the Folder input field that allows attackers to access files outside the web root by injecting directory traversal sequences. Additionally, the plugin fails to sanitize input fields in publication settings, allowing stored cross-site scripting attacks through script injection in parameters like Area Width and Publication Width that execute when publications are viewed or edited.

Casky was already ahead

This CVE exploits attack patterns that Casky's 301matched 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

Supsystic Digital Publications 1.6.9 contains two critical input validation flaws: a path traversal vulnerability in the Folder input field that permits attackers to escape the web root and access arbitrary files on the server, and a stored cross-site scripting (XSS) vulnerability arising from unsanitized publication settings. The stored XSS affects parameters like Area Width and Publication Width, allowing attackers to inject malicious scripts that execute persistently whenever publications are viewed or edited. This combination of vulnerabilities affects WordPress site administrators and content editors using this plugin, creating risks for both unauthorized file disclosure and account compromise through session hijacking or credential theft when stored payloads execute in admin contexts.

Casky's 301 mapped skills detect the attack patterns underlying TA0001 (Initial Access) and TA0043 (Reconnaissance) techniques by analyzing input handling across form fields and publication parameters. Using Claude's extended reasoning, practitioners will observe findings that flag: (1) unsanitized user input flowing into file system operations without proper path validation—indicating CWE-79 and path traversal risks; (2) HTML/JavaScript context injection in storage and rendering functions where output encoding is absent; and (3) persistent payload indicators where malicious scripts remain in database records and execute on subsequent requests. Practitioners reviewing Casky's detailed findings will see attack chains mapping input vectors through plugin code, enabling them to identify both the technical weaknesses and the reconnaissance/initial access methods attackers use to discover and exploit these flaws.

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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 →

301 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2020-37245.

analyzing-apt-group-with-mitre-navigator

threat intelligence · low

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analyzing-campaign-attribution-evidence

threat intelligence · low

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analyzing-certificate-transparency-for-phishing

threat intelligence · low

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MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2020-37245

Casky has 301 skills that investigate the attack patterns behind CVE-2020-37245. Run one and get CVSS-scored findings in 3 minutes.

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