run-ab-test-models
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Audited by Gen Agent Trust Hub on Feb 27, 2026
Risk Level: MEDIUMCOMMAND_EXECUTIONDATA_EXFILTRATION
Full Analysis
- [COMMAND_EXECUTION]: Unsafe deserialization in model loading functionality.
- File: references/EXAMPLES.md
- Evidence: The
load_modelfunction inab_test/traffic_router.pyutilizesjoblib.load(path). Sincejoblibuses pickle-based serialization, loading a model file from an untrusted or compromised source allows for arbitrary code execution on the host system. - [COMMAND_EXECUTION]: Potential SQL injection surface in data analysis components.
- File: references/EXAMPLES.md
- Evidence: The
load_experiment_datamethod inab_test/analysis.pydemonstrates the construction of SQL queries using f-string interpolation forexperiment_name,start_date, andend_date. If these parameters are derived from untrusted user input without sanitization, it creates a risk of SQL injection. - [DATA_EXFILTRATION]: Design patterns for external data transmission.
- File: references/EXAMPLES.md
- Evidence: The implementation includes stubs for
log_experiment_eventand_send_to_analyticswhich are explicitly intended to send prediction results, features, and outcomes to external systems like Kafka, S3, or databases. While currently implemented as loggers, the architecture is designed to facilitate the exfiltration of sensitive model performance and user data.
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