Stored XSS in Heptabase Enables Persistent Code Injection

Heptabase developed by Hepta Platforms, Inc. has a Stored Cross-Site Scripting vulnerability. Authenticated remote attackers can inject persistent malicious content into specific pages, causing arbitrary JavaScript code to execute when other users click the crafted content.

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

Heptabase, a collaborative workspace platform by Hepta Platforms, Inc., contains a Stored Cross-Site Scripting (CWE-79) vulnerability that allows authenticated attackers to inject malicious JavaScript into specific pages. Unlike reflected XSS, stored XSS persists in the application's database, executing automatically when any user—including administrators or colleagues—accesses the compromised content. With a CVSS score of 8.7, this vulnerability poses significant risk to organizations using Heptabase for sensitive knowledge management, potentially enabling credential theft, session hijacking, malware distribution, or lateral movement within trusted team environments. The authentication requirement only moderately reduces risk, as insider threats and compromised accounts remain viable attack vectors.

Casky's 322 matching skills leverage Claude AI's extended reasoning to detect the attack patterns mapped to MITRE ATT&CK techniques TA0001 (Reconnaissance) and TA0043 (Reconnaissance via resource development). Practitioners using Casky would observe detection signals for suspicious input validation bypasses, script tag injection attempts, and event handler manipulation within page creation/editing workflows. The platform's skill library would highlight how attackers enumerate trusted users and craft payloads targeting specific Heptabase page types, while also identifying behavioral indicators like unusual DOM modifications or outbound data exfiltration following page access. Security teams would receive actionable findings distinguishing malicious content injection from legitimate collaborative edits, enabling rapid isolation of compromised pages and affected user sessions.

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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-2026-78213.

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 TA0043

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