
Salwa Adlouni developed targeted CVE scanning capabilities for the Ostorlab/agent_asteroid repository, enabling users to specify custom CVE lists through YAML configuration and CLI filters for precise vulnerability assessment. She extended the agent to support exploit selection by CVE ID, integrated metadata for improved reporting, and ensured consistent CVE propagation across the workflow. In Ostorlab/oxo, Salwa implemented explicit vulnerability risk reporting using Protocol Buffers and Python, exposing risk data via the report_vulnerability API. She also stabilized the test suite across Python 3.9 and 3.11, enhancing CI reliability and supporting more robust, automated vulnerability management and compliance processes.

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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