Spring GraphQL WebSocket Cross-Site Hijacking Attack

Spring for GraphQL applications that have enabled the WebSocket transport are vulnerable to Cross-Site WebSocket Hijacking. An attacker can trick an authenticated user into visiting a malicious page, allowing the attacker to execute arbitrary GraphQL operations with the victim's credentials. Affected versions: Spring for GraphQL 2.0.0 through 2.0.3; 1.4.0 through 1.4.5; 1.3.0 through 1.3.8; 1.0.0 through 1.0.6.

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

Spring for GraphQL applications using WebSocket transport suffer from Cross-Site WebSocket Hijacking (CSWSH), a variant of CSRF that exploits the stateful nature of WebSocket connections. An attacker can craft a malicious webpage that, when visited by an authenticated user, establishes a WebSocket connection to the victim's GraphQL endpoint using their existing session credentials. This allows the attacker to execute arbitrary GraphQL queries and mutations on behalf of the victim without their knowledge or consent. The vulnerability affects multiple versions across Spring for GraphQL 1.0 through 2.0 lines, creating a broad attack surface for organizations that have enabled WebSocket transport for real-time GraphQL subscriptions or operations.

Casky's 301 matching skills leverage Claude's extended reasoning to detect CSWSH attack patterns by analyzing initial access vectors (TA0001) and privilege abuse techniques (TA0043). Practitioners would observe findings highlighting suspicious cross-origin WebSocket handshakes lacking proper origin validation, absence of CSRF tokens on WebSocket upgrade requests, and authenticated GraphQL operations originating from unexpected referrer domains. The platform's skill mapping identifies both the client-side exploitation chain (social engineering to visit malicious pages) and server-side weakness (insufficient origin/referer checks), enabling security teams to correlate suspicious WebSocket connection patterns with subsequent unauthorized GraphQL operations that execute with victim privileges, revealing the complete attack narrative.

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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-2026-41700.

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-2026-41700

Casky has 301 skills that investigate the attack patterns behind CVE-2026-41700. Run one and get CVSS-scored findings in 3 minutes.

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