SpiderFoot HTML Injection in Correlation Titles

SpiderFoot fails to HTML-escape correlation titles built from external scan data sources including server banners and metadata. Attackers can inject malicious HTML elements with event handlers into correlation results that execute scripts in the operator's browser when the correlations view is opened, potentially stealing API keys.

Casky was already ahead

This CVE exploits attack patterns that Casky's 322matched 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

SpiderFoot, a popular open-source intelligence gathering framework, contains a stored cross-site scripting (XSS) vulnerability in its correlation results feature. The vulnerability stems from inadequate HTML escaping of correlation titles that are constructed from external data sources such as server banners and metadata. Attackers can inject malicious HTML and JavaScript into these titles, which execute in an operator's browser when the correlations view is opened. This is particularly dangerous because SpiderFoot operators often work with sensitive credentials—API keys, authentication tokens, and connection strings—making stored XSS an ideal vector for credential theft. Security teams, threat intelligence analysts, and penetration testers who rely on SpiderFoot for reconnaissance and OSINT are directly affected.

Casky's 322 matching skills leverage Claude AI's extended reasoning to detect the attack patterns behind this vulnerability by mapping it to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance). Practitioners using Casky would observe findings that identify suspicious HTML entity patterns in external data ingestion points, flag untrusted correlation data lacking proper sanitization, and detect event handler injection attempts (onload, onerror, onclick) in structured scan output. The platform's skills would highlight the critical data flow: untrusted external sources → correlation processing → operator's browser, allowing teams to pinpoint where input validation and output encoding controls are missing. This multi-layered detection approach helps practitioners understand not just that an XSS exists, but how an attacker would chain reconnaissance activities with credential harvesting to compromise their operational security.

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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 →

322 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-75626.

Abuse of Public-Facing API: Mobile API Abuse

mobile security · low

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abusing-dpapi-for-credential-access

red teaming · high

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abusing-shadow-credentials-for-privesc

red teaming · high

Run

MITRE ATT&CK Techniques

TA0001 TA0043

Investigate the attack patterns behind CVE-2026-75626

Casky has 322 skills that investigate the attack patterns behind CVE-2026-75626. Run one and get CVSS-scored findings in 3 minutes.

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