analyzing-api-gateway-access-logs

Detect BOLA and IDOR attacks by profiling resource access patterns across users and source IPs in API gateway logs. The analysis identifies unauthorized resource access, surfacing security threats for faster incident response and threat hunting workflows.

Yes, you can parse AWS API Gateway, Kong, and Nginx logs for security threats. The analysis requires input logs formatted as JSON Lines or CSV and uses Python 3.8+ with pandas to surface malicious injections and credential stuffing attempts.

Identify credential stuffing and rate limit bypass attempts by analyzing 401 and 403 HTTP status surges in API logs. This approach detects unusual access patterns across multiple endpoints, highlighting automated attack behaviors for SOC workflows.

Find injection attempts by parsing API gateway logs to scan query parameters and request bodies for malicious payloads. This process flags suspicious inputs for further investigation during incident response or threat hunting operations.

Yes, you need Python 3.8+ and the pandas library to analyze API gateway logs for incident response. The tool ingests JSON Lines or CSV formatted access logs to produce a structured findings report.