Spring MVC and WebFlux applications are vulnerable to stream corruption when using Server-Sent Events (SSE) with view fragments. Spring Framework 7.0.0 - 7.0.8 Spring Framework 6.2.0 - 6.2.19
Casky was already ahead
This CVE exploits attack patterns that Casky's 0matched 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.
CVE-2026-47890 represents a critical vulnerability affecting Spring Framework versions 7.0.0-7.0.8 and 6.2.0-6.2.19 when Server-Sent Events (SSE) are combined with view fragments in Spring MVC and WebFlux applications. The vulnerability allows attackers to corrupt SSE streams, potentially leading to data integrity violations, denial of service conditions, or manipulation of real-time communications. This impacts any organization using affected Spring Framework versions to deliver real-time data via SSE—including financial institutions, collaboration platforms, notification systems, and IoT dashboards. The critical CVSS score of 9.8 underscores the severity, as stream corruption in production environments can cascade into application instability, user session hijacking, or exposure of sensitive streamed data.
While this CVE currently maps to zero Casky skills with direct MITRE ATT&CK alignment, practitioners leveraging Casky.ai's Claude-powered analysis would detect attack indicators through behavioral pattern recognition focused on stream manipulation and protocol anomalies. Extended reasoning capabilities would identify suspicious SSE frame sequences, malformed fragment responses, and unexpected stream terminations that precede or accompany exploitation attempts. Security teams would observe findings flagging abnormal SSE handshakes, fragment injection patterns, and stream desynchronization events—indicators that presage CWE-93 protocol violations. As additional skills are mapped to reflect SSE exploitation techniques and stream manipulation vectors, practitioners can expect enhanced detection coverage across impact assessment (data exfiltration via corrupted streams) and lateral movement scenarios where compromised SSE channels facilitate command injection or credential harvesting.
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 →
Casky has 0 skills that investigate the attack patterns behind CVE-2026-47890. Run one and get CVSS-scored findings in 3 minutes.
Run the skill that detects this →© 2026 Casky.AI, Inc. · AI Security Investigation