
Salwa Adlouni developed targeted vulnerability scanning and risk reporting features across the Ostorlab/agent_asteroid and Ostorlab/oxo repositories. She implemented custom CVE list support and CLI filtering using Python and YAML, enabling precise vulnerability assessment and streamlined remediation. Her work included extending agent logic for exploit selection by CVE ID, integrating metadata, and refactoring detection logic for Apache Tomcat and CVE-2024-50379. Salwa also enhanced test coverage and stabilized CI pipelines for Python 3.9 and 3.11 compatibility, improving reliability. Her contributions focused on backend development, security automation, and configuration management, resulting in more accurate, maintainable, and auditable vulnerability workflows.
Month: 2025-12. Focused on delivering core vulnerability-detection improvements for Apache Tomcat and CVE-2024-50379 in Ostorlab/agent_asteroid, with targeted refactors, enhanced tests, and clearer signals to accelerate remediation and reduce risk.
Month: 2025-12. Focused on delivering core vulnerability-detection improvements for Apache Tomcat and CVE-2024-50379 in Ostorlab/agent_asteroid, with targeted refactors, enhanced tests, and clearer signals to accelerate remediation and reduce risk.
September 2025 highlights for Ostorlab/oxo: Implemented explicit vulnerability risk data and exposed it via the report_vulnerability API, and stabilized the test suite across Python 3.9 and 3.11, delivering clearer risk visibility and more reliable releases.
September 2025 highlights for Ostorlab/oxo: Implemented explicit vulnerability risk data and exposed it via the report_vulnerability API, and stabilized the test suite across Python 3.9 and 3.11, delivering clearer risk visibility and more reliable releases.
July 2025 — Ostorlab/agent_asteroid delivered targeted CVE scanning with custom CVE lists, enabling precise vulnerability assessment and faster triage. Implemented YAML config CVE_list and CLI filtering, with agent-level support for selecting exploits by CVE IDs and metadata integration. The feature rollout also included bug fixes to YAML field naming and consistent CVE_ID propagation, ensuring reliability and auditability. Changes were implemented across multiple commits to asteroid_agent.py, establishing a cohesive CVE-driven workflow. Result: reduced scan noise, shorter remediation cycles, and improved automation readiness for compliance reporting. Technologies: Python, YAML, CLI parsing, and metadata handling. Business value: higher accuracy, performance, and traceability of vulnerability scans.
July 2025 — Ostorlab/agent_asteroid delivered targeted CVE scanning with custom CVE lists, enabling precise vulnerability assessment and faster triage. Implemented YAML config CVE_list and CLI filtering, with agent-level support for selecting exploits by CVE IDs and metadata integration. The feature rollout also included bug fixes to YAML field naming and consistent CVE_ID propagation, ensuring reliability and auditability. Changes were implemented across multiple commits to asteroid_agent.py, establishing a cohesive CVE-driven workflow. Result: reduced scan noise, shorter remediation cycles, and improved automation readiness for compliance reporting. Technologies: Python, YAML, CLI parsing, and metadata handling. Business value: higher accuracy, performance, and traceability of vulnerability scans.

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