linkedin/datahub-gma
Aug 2025 – Aug 2025
1 Month active
Languages Used
JavaSQL
Technical Skills
Backend DevelopmentDatabase SecuritySQL Injection PreventionUnit Testing
Charli Meng
PROFILE
Charli Meng
Worked on security hardening and reliability improvements for the linkedin/datahub-gma repository, focusing on backend development and database security. Addressed a SQL injection vulnerability by implementing SQL escaping for URN strings containing single quotes in local relationship queries, ensuring safer data access. Updated the parseLocalRelationshipValue logic to consistently apply this escaping across different scenarios, reducing the risk of injection attacks. Expanded unit testing to cover a wide range of edge cases, improving test coverage and preventing future regressions. Utilized Java and SQL to deliver these changes, resulting in a more robust and auditable data access layer with clearer security ownership.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
1Total
Bugs
1
Commits
1
Features
0
Lines of code
285
Activity Months1
Your Network
102 peopleSame Organization
@linkedin.com89
Allen AverbukhMember
Xin(Adam) ChenMember
Ahmet Alp BalkanMember
Alex HopmannMember
Alan Z.Member
Aman GuptaMember
Amaan MarfatiaMember
AMAN PANDEYMember
Abhishek NathMember
Shared Repositories
13
Hong LiuMember
Justin DonnMember
Jesse JiaMember
Jinxin MaMember
Jonathan HuiMember
Mridul SharmaMember
Natallia UlashchickMember
Pallavi KotkarMember
Rakhi AgrawalMember
Work History
August 2025
1 Commits
Aug 1, 2025August 2025 monthly summary for linkedin/datahub-gma focusing on security hardening and reliability improvements. Implemented SQL escaping to mitigate injection risk in local relationship queries, updated parsing logic, and expanded tests to cover edge cases. Result: stronger security, more robust data access, and improved test coverage with auditable commits.
1 Commits
Aug 1, 2025August 2025 monthly summary for linkedin/datahub-gma focusing on security hardening and reliability improvements. Implemented SQL escaping to mitigate injection risk in local relationship queries, updated parsing logic, and expanded tests to cover edge cases. Result: stronger security, more robust data access, and improved test coverage with auditable commits.
August 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaSQL
Technical Skills
Backend DevelopmentDatabase SecuritySQL Injection PreventionUnit Testing
Repositories Contributed To
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