splunk/attack_data
Nov 2025 – Nov 2025
1 Month active
Languages Used
PythonYAML
Technical Skills
YAMLYAML configurationbackend developmentcybersecuritydata analysisdata management
ali AtashGar
PROFILE
Ali Atashgar
Ali Atashgar enhanced the splunk/attack_data repository by developing and refining datasets that simulate BitLocker COM Hijacking lateral movement, addressing detection gaps in security analytics. Using Python and YAML, Ali focused on improving dataset accuracy and coverage to support more realistic emulation and reliable analytics workflows. He also stabilized raw log handling, which increased data integrity and ensured consistent log processing for defensive analysis. The work combined backend development, data processing, and cybersecurity expertise to deliver updates that strengthened analytics readiness and deployment confidence. Over the month, Ali’s contributions demonstrated depth in both technical implementation and understanding of security data challenges.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
64
Activity Months1
Your Network
18 peopleSame Organization
@snapp.cab2
masoumeh.ghanbariMember
Rojin EbrahimiMember
Work History
November 2025
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for splunk/attack_data: Delivered dataset enhancements for BitLocker COM Hijacking to improve coverage and realism for security analytics, and stabilized raw log handling to boost data integrity in log processing. These updates reduce detection gaps in lateral movement emulation and increase reliability of analytics workflows, supporting faster defensive decisions and more credible test data.
3 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for splunk/attack_data: Delivered dataset enhancements for BitLocker COM Hijacking to improve coverage and realism for security analytics, and stabilized raw log handling to boost data integrity in log processing. These updates reduce detection gaps in lateral movement emulation and increase reliability of analytics workflows, supporting faster defensive decisions and more credible test data.
November 2025
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture86.6%
Performance93.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
YAMLYAML configurationbackend developmentcybersecuritydata analysisdata managementdata processing
Repositories Contributed To
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