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SalwaAdlouni

PROFILE

Salwaadlouni

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.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

34Total
Bugs
1
Commits
34
Features
4
Lines of code
14,239
Activity Months3

Your Network

47 people

Work History

December 2025

7 Commits • 2 Features

Dec 1, 2025

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

16 Commits • 1 Features

Sep 1, 2025

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

11 Commits • 1 Features

Jul 1, 2025

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.

Activity

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Quality Metrics

Correctness85.8%
Maintainability87.0%
Architecture78.2%
Performance82.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

Protocol BuffersPythonTOMLYAMLprotobufpython

Technical Skills

Agent DevelopmentBackend DevelopmentCI/CDCLI Argument ParsingCVE ManagementCode RefactoringCommand-Line Interface (CLI)Configuration ManagementDockerDocumentationExploit DevelopmentExploit SelectionGraphQLPythonPython Development

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

Ostorlab/agent_asteroid

Jul 2025 Dec 2025
2 Months active

Languages Used

PythonYAML

Technical Skills

Agent DevelopmentCLI Argument ParsingCVE ManagementCode RefactoringCommand-Line Interface (CLI)Configuration Management

Ostorlab/oxo

Sep 2025 Sep 2025
1 Month active

Languages Used

Protocol BuffersPythonTOMLprotobufpython

Technical Skills

Backend DevelopmentCI/CDCode RefactoringConfiguration ManagementDockerDocumentation