Tencent/AI-Infra-Guard
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
AI IntegrationAPI integrationCyber SecurityDynamic AnalysisPythonPython scripting
sc
PROFILE
Sc
Worked on the Tencent/AI-Infra-Guard repository to deliver a major upgrade to the Dynamic Analysis Framework, enabling scalable security assessments with new agents and asynchronous test-case generation. Leveraged Python and asynchronous programming to expand vulnerability coverage, including credential leakage, prompt injection, and rug pull detection, while updating server transport options for broader compatibility. Stabilized the dynamic analysis workflow through framework debugging and improved error handling, enhancing reliability under dynamic conditions. Addressed MCP tooling description logic and server transport type handling to support dynamic transports. The work resulted in faster security triage, broader automation, and increased resilience for backend security testing workflows.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
6Total
Bugs
1
Commits
6
Features
1
Lines of code
1,862
Activity Months1
Your Network
33 peopleSame Organization
@m.fudan.edu.cn7
Shared Repositories
26
Work History
December 2025
6 Commits • 1 Features
Dec 1, 2025Summary for 2025-12 (Tencent/AI-Infra-Guard): Delivered a major upgrade to the Dynamic Analysis Framework enabling scalable security assessments with new agents/tools, asynchronous test-case generation/execution, and expanded vulnerability coverage (credential leakage, prompt injection), rug pull detection, and updated server transport options. Completed and stabilized the dynamic analysis workflow, including framework debugging, and fixed server transport/type handling. Fixed MCP tooling description logic and improved server transport error handling to increase reliability under dynamic analysis. Overall impact: faster security triage, broader automation, and stronger transport resilience. Technologies demonstrated include dynamic analysis framework design, asynchronous task orchestration, multi-transport support, robust error handling, and tooling resilience (tool description and rug pull detection).
6 Commits • 1 Features
Dec 1, 2025Summary for 2025-12 (Tencent/AI-Infra-Guard): Delivered a major upgrade to the Dynamic Analysis Framework enabling scalable security assessments with new agents/tools, asynchronous test-case generation/execution, and expanded vulnerability coverage (credential leakage, prompt injection), rug pull detection, and updated server transport options. Completed and stabilized the dynamic analysis workflow, including framework debugging, and fixed server transport/type handling. Fixed MCP tooling description logic and improved server transport error handling to increase reliability under dynamic analysis. Overall impact: faster security triage, broader automation, and stronger transport resilience. Technologies demonstrated include dynamic analysis framework design, asynchronous task orchestration, multi-transport support, robust error handling, and tooling resilience (tool description and rug pull detection).
December 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability80.0%
Architecture80.0%
Performance76.6%
AI Usage56.6%
Skills & Technologies
Programming Languages
Python
Technical Skills
AI IntegrationAPI integrationCyber SecurityDynamic AnalysisPythonPython scriptingSoftware DevelopmentTool Developmentasynchronous programmingbackend developmentdynamic analysissecurity testingsoftware engineering
Repositories Contributed To
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