Stored XSS in Graphina WordPress Plugin Chart Settings

The Graphina – Charts and Graphs For Elementor plugin for WordPress is vulnerable to Stored Cross-Site Scripting via the 'iq_tree_chart_node_font_family (and any text control serialized into chart_data['settings'])' parameter in all versions up to, and including, 3.1.13 due to insufficient input sanitization and output escaping. This makes it possible for unauthenticated attackers to inject arbitrary web scripts in pages that will execute whenever a user accesses an injected page. Elementor's Utils::kses_post_deep() does not strip the attack payload on save because the payload contains no disallowed HTML tags — only a single quote and an event-handler fragment — allowing the malicious value to survive persistence.

Casky was already ahead

This CVE exploits attack patterns that Casky's 323matched 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 Graphina – Charts and Graphs For Elementor plugin contains a Stored Cross-Site Scripting (CWE-79) vulnerability in its chart configuration parameters, specifically the 'iq_tree_chart_node_font_family' field and other text controls serialized into chart_data settings. This vulnerability allows unauthenticated attackers to inject malicious JavaScript that persists in the WordPress database and executes whenever any user views the affected page. WordPress sites using Graphina up to version 3.1.13 are at risk, as the plugin fails to properly sanitize user input before storing it and doesn't adequately escape output during rendering. This is particularly dangerous because chart configurations are often created by users with lower privilege levels, yet the malicious payload executes in the context of all visitors, including administrators.

Casky's 323 matching skills leverage Claude AI's extended reasoning to detect the attack patterns associated with this CVE across Initial Access (TA0001) and Persistence (TA0043) techniques. Practitioners using Casky would observe findings that correlate unsanitized input flows into chart serialization functions with post-authentication persistence mechanisms—specifically how attackers use legitimate plugin features to establish stored payloads that survive across sessions. The platform's skills map data flow analysis to identify where text controls bypass sanitization hooks, trace the serialization-to-rendering pipeline, and flag suspicious chart_data structures containing script tags or event handlers. Security teams would see contextualized alerts showing how this vulnerability enables both initial compromise through social engineering (malicious chart shares) and persistence through database-stored XSS, helping practitioners prioritize patch deployment and audit existing chart configurations for injected content.

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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 →

323 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-110291.

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

Investigate the attack patterns behind CVE-2026-110291

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