CWE-352-AI
AI assistants generate form handlers without CSRF token validation, enabling attackers to trick authenticated users into performing unintended actions....
Precogs AI Insight
"Precogs AI detects missing CSRF protection in AI-generated form handlers and auto-adds CSRF token generation and validation."
What is CWE-352-AI (Cross-Site Request Forgery in AI-Generated Forms)?
AI assistants generate form handlers without CSRF token validation, enabling attackers to trick authenticated users into performing unintended actions.
Vulnerability Insights
In the context of vulnerabilities in ai-generated code, this vulnerability poses significant risk because compiled binaries and complex AI logic cannot be easily patched without vendor cooperation. Organizations relying on third-party software must use structural analysis tools to detect these flaws.
Impact on Systems
- Compromise of Application Integrity: Predictable execution flow is disrupted
- Potential Data Exposure: Depending on context, sensitive configurations may leak
- Availability Risks: Unexpected states leading to temporary denial of service
Real-World Attack Scenario
An attacker probes the system interfaces to identify areas where the input or state related to Cross-Site Request Forgery in AI-Generated Forms is improperly handled. Once identified, they craft a payload tailored to the specific backend architecture. By exploiting the lack of robust structural validation, the attacker is able to force the application into an unintended state, bypassing standard business logic and achieving unauthorized outcomes.
Code Examples
Vulnerable Implementation
// VULNERABLE: Unvalidated input leading to Cross-Site Request Forgery in AI-Generated Forms
function processInput(data) {
// Missing strict validation or sanitization
executeOrStoreConfig(data);
}
Secure Alternative
// SECURE: Proper validation mitigating Cross-Site Request Forgery in AI-Generated Forms
function processInput(data) {
if (!isValid(data)) throw new Error('Invalid input');
const safeData = sanitize(data);
executeOrStoreConfig(safeData);
}
Remediation
Ensure robust input validation, boundary checking, and adherence to secure architecture frameworks when designing AI-Generated Code solutions. Use automated code scanning or binary analysis to detect flaws early in the SDLC.