CWE-611-AI
AI assistants generate XML parsing code with default parser settings that allow external entity resolution, enabling file reading and SSRF attacks....
Precogs AI Insight
"Precogs AI detects unsafe XML parser configurations in AI-generated code and applies entity resolution restrictions."
What is CWE-611-AI (XML External Entity (XXE) in AI-Generated Parsers)?
AI assistants generate XML parsing code with default parser settings that allow external entity resolution, enabling file reading and SSRF attacks.
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 XML External Entity (XXE) in AI-Generated Parsers 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 XML External Entity (XXE) in AI-Generated Parsers
function processInput(data) {
// Missing strict validation or sanitization
executeOrStoreConfig(data);
}
Secure Alternative
// SECURE: Proper validation mitigating XML External Entity (XXE) in AI-Generated Parsers
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.