
Behnaz Hassanshahi developed a suite of security and reporting features for the ossf/malicious-packages repository, focusing on Python-based automation and data analysis. Over four months, she engineered tools to generate detailed threat intelligence and audit reports for PyPI packages, integrating structured findings and actionable risk guidance directly into the repository. Her work included expanding threat datasets, building reusable reporting workflows, and automating security analysis to support faster detection and triage. Leveraging skills in Python development, malware analysis, and package auditing, Behnaz delivered maintainable solutions that improved monitoring, enhanced data quality, and established a foundation for ongoing automated security reporting.

Summary for 2025-10 (ossf/malicious-packages): Delivered the Tikweb Security Audit Report Generator, a Python script that generates a security audit/report for the tikweb PyPI package and establishes a reusable security reporting workflow. The work included a commit to add the report for the tikweb PyPI package and lays the groundwork for automated security analysis across the repository. No major bugs fixed this month; focus was on building auditing capabilities and improving security posture. Impact: enables reproducible security insights, supports faster threat detection, and provides a foundation for broader automated reporting within ossf/malicious-packages. Technologies/skills demonstrated: Python scripting, security reporting, automation patterns, and commit-based traceability.
Summary for 2025-10 (ossf/malicious-packages): Delivered the Tikweb Security Audit Report Generator, a Python script that generates a security audit/report for the tikweb PyPI package and establishes a reusable security reporting workflow. The work included a commit to add the report for the tikweb PyPI package and lays the groundwork for automated security analysis across the repository. No major bugs fixed this month; focus was on building auditing capabilities and improving security posture. Impact: enables reproducible security insights, supports faster threat detection, and provides a foundation for broader automated reporting within ossf/malicious-packages. Technologies/skills demonstrated: Python scripting, security reporting, automation patterns, and commit-based traceability.
Summary for 2025-09 (ossf/malicious-packages): Delivered user-facing threat intelligence reports analyzing three malicious PyPI packages (veilcord-tls, vielcord, bloxypy). Each report provides findings, risk guidance, and practical mitigation recommendations to help users avoid compromised packages. The work includes integrating per-package threat intel into the repository, aligning with disclosure standards, and delivering actionable content for security teams and product stakeholders.
Summary for 2025-09 (ossf/malicious-packages): Delivered user-facing threat intelligence reports analyzing three malicious PyPI packages (veilcord-tls, vielcord, bloxypy). Each report provides findings, risk guidance, and practical mitigation recommendations to help users avoid compromised packages. The work includes integrating per-package threat intel into the repository, aligning with disclosure standards, and delivering actionable content for security teams and product stakeholders.
May 2025 monthly summary for ossf/malicious-packages: Delivered a new Dscss PyPI package report generation feature with structured findings and analysis, enabling targeted risk assessment of the repository. This work enhances visibility and supports security governance.
May 2025 monthly summary for ossf/malicious-packages: Delivered a new Dscss PyPI package report generation feature with structured findings and analysis, enabling targeted risk assessment of the repository. This work enhances visibility and supports security governance.
March 2025 monthly summary for ossf/malicious-packages: Delivered two security-focused features and expanded threat data, improving monitoring, detection capabilities, and business value. Implemented a Malicious PyPI Package Reporting (Single Package) feature and expanded the Black Spammer dataset with integration into the repository. No major bugs reported this month; focus was on stability and data quality. The work enhances visibility into malicious packages and provides richer data for security teams, contributing to faster threat assessment and response.
March 2025 monthly summary for ossf/malicious-packages: Delivered two security-focused features and expanded threat data, improving monitoring, detection capabilities, and business value. Implemented a Malicious PyPI Package Reporting (Single Package) feature and expanded the Black Spammer dataset with integration into the repository. No major bugs reported this month; focus was on stability and data quality. The work enhances visibility into malicious packages and provides richer data for security teams, contributing to faster threat assessment and response.
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