Crow before 1.3.4 contains an uncontrolled recursion vulnerability in crow::json::load() that allows remote unauthenticated attackers to crash the server by sending deeply nested JSON. Attackers can send a request body with thousands of nested objects to exhaust the worker thread stack, terminating the process and dropping all connections.
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.
Crow before version 1.3.4 contains a critical uncontrolled recursion vulnerability in its JSON parsing functionality that enables remote denial-of-service attacks. When an attacker sends HTTP requests containing deeply nested JSON objects, the crow::json::load() function recursively processes each level without proper depth limits, exhausting the worker thread's stack memory. This causes the affected server process to crash, terminating all active connections and making the service unavailable. Any organization running vulnerable versions of Crow—a popular C++ web framework—faces immediate risk, particularly those exposing Crow-based APIs to untrusted networks or the internet.
While this vulnerability doesn't map to specific MITRE ATT&CK techniques in the traditional sense, Casky's extended reasoning capabilities would identify the attack pattern as a resource exhaustion variant related to Impact techniques. A practitioner using Casky would observe anomalous request patterns in their findings: repeated POST/PUT requests with progressively deeper JSON nesting, unusual memory consumption spikes in worker threads, and correlated service crashes following these requests. Casky's skills would help correlate these indicators with CWE-674 (uncontrolled recursion) and recommend immediate patching to versions 1.3.4 or later, along with input validation rules to reject excessively nested JSON at the application gateway level as a compensating control.
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-2026-116011. Run one and get CVSS-scored findings in 3 minutes.
Run the skill that detects this →© 2026 Casky.AI, Inc. · AI Security Investigation