ossf/malicious-packages
Mar 2025 – Feb 2026
7 Months active
Languages Used
PythonJSON
Technical Skills
Malware AnalysisPackage ManagementSecurity AnalysisSoftware DevelopmentData AnalysisReporting
Behnaz Hassanshahi
PROFILE
Behnaz Hassanshahi
Behnaz Hassanshahi developed and maintained security-focused features for the ossf/malicious-packages repository, delivering structured threat intelligence and automated reporting for malicious PyPI packages. She engineered Python-based tools and JSON-formatted reports to document malware behaviors, such as command execution, data exfiltration, and typo-squatting, enabling rapid detection and incident response. Her work included building reusable audit workflows, integrating new threat datasets, and establishing maintainable reporting templates. By focusing on data analysis, malware detection, and security reporting, Behnaz improved monitoring, traceability, and governance across the repository. Her contributions demonstrated depth in security analysis and a methodical approach to software and data structuring.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
12Total
Bugs
0
Commits
12
Features
8
Lines of code
1,230
Activity Months7
Your Network
785 peopleSame Organization
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Work History
February 2026
2 Commits • 1 Features
Feb 1, 2026February 2026: Delivered structured threat intelligence reporting for the ossf/malicious-packages repo, enabling faster detection and incident response for high-risk packages. The work documents malicious capabilities including execution of arbitrary commands and data exfiltration for malpkgv2-0, and a typo-squatting attempt on connect-eaas-core within cnnct-eaas-corre. JSON reports are crafted for straightforward ingestion into security tooling and IR workflows. All changes are committed with clear auditability through signed-off commits.
2 Commits • 1 Features
Feb 1, 2026February 2026: Delivered structured threat intelligence reporting for the ossf/malicious-packages repo, enabling faster detection and incident response for high-risk packages. The work documents malicious capabilities including execution of arbitrary commands and data exfiltration for malpkgv2-0, and a typo-squatting attempt on connect-eaas-core within cnnct-eaas-corre. JSON reports are crafted for straightforward ingestion into security tooling and IR workflows. All changes are committed with clear auditability through signed-off commits.
February 2026
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Key features delivered: Security Advisory: GTKfuscator (PyPI) Malware Report for ossf/malicious-packages, detailing its behavior and affected versions, with explicit commit trace. Major bugs fixed: none reported for this repo this month; focus was advisory documentation and threat visibility. Overall impact and accomplishments: improves ecosystem security by providing a definitive, citable malware advisory that aids users in avoiding compromised PyPI packages and enables faster incident response. Technologies/skills demonstrated: security reporting, threat modeling, version-controlled documentation, and cross-functional collaboration evidenced by signed-off commits and co-authored contributions.
December 2025
1 Commits • 1 Features
Dec 1, 2025Month: 2025-12. Key features delivered: Security Advisory: GTKfuscator (PyPI) Malware Report for ossf/malicious-packages, detailing its behavior and affected versions, with explicit commit trace. Major bugs fixed: none reported for this repo this month; focus was advisory documentation and threat visibility. Overall impact and accomplishments: improves ecosystem security by providing a definitive, citable malware advisory that aids users in avoiding compromised PyPI packages and enables faster incident response. Technologies/skills demonstrated: security reporting, threat modeling, version-controlled documentation, and cross-functional collaboration evidenced by signed-off commits and co-authored contributions.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025: Implemented a Malware Detection Report for the llmboost-hub PyPI package in ossf/malicious-packages, enabling automated visibility into malicious code and obfuscated payloads in a license-checking module. This enhancement strengthens supply-chain security and governance for OSSF portfolios.
1 Commits • 1 Features
Nov 1, 2025November 2025: Implemented a Malware Detection Report for the llmboost-hub PyPI package in ossf/malicious-packages, enabling automated visibility into malicious code and obfuscated payloads in a license-checking module. This enhancement strengthens supply-chain security and governance for OSSF portfolios.
November 2025
October 2025
1 Commits • 1 Features
Oct 1, 2025Summary 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.
October 2025
1 Commits • 1 Features
Oct 1, 2025Summary 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.
September 2025
3 Commits • 1 Features
Sep 1, 2025Summary 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.
3 Commits • 1 Features
Sep 1, 2025Summary 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.
September 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 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
1 Commits • 1 Features
May 1, 2025May 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
3 Commits • 2 Features
Mar 1, 2025March 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.
3 Commits • 2 Features
Mar 1, 2025March 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
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Quality Metrics
Correctness91.6%
Maintainability91.6%
Architecture91.6%
Performance91.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONPython
Technical Skills
Data AnalysisMalware AnalysisPackage AnalysisPackage AuditingPackage ManagementPython DevelopmentReportingSecurity AnalysisSoftware Developmentdata analysisdata reportingdata structuringmalware analysismalware detectionsecurity analysis
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