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3yr ROI
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Talent Scout
X
Xianzhen Luo
Harbin Institute of Technology
J
Jingyuan Zhang
Kuaishou Technology
S
Shiqi Zhou
Harbin Institute of Technology
R
Rain Huang
Harbin Institute of Technology
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References
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Founder's Pitch
"CVE-Factory transforms CVE metadata into automated, expert-level code security tasks."
Commercial Viability Breakdown
0-10 scaleHigh Potential
3/4 signals
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4/4 signals
Series A Potential
2/4 signals
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Why It Matters
The growing volume of code and diminishing human oversight demand improved security measures, particularly as AI-driven development proliferates. Automated transformation of CVE data into executable tasks helps in addressing code vulnerabilities swiftly and at scale, reducing the risk of systemic security breaches.
Product Angle
CVE-Factory can be developed into a cloud-based service that automatically produces verified security task kits from known vulnerabilities, assisting companies in quickly resolving security issues with minimal manual intervention.
Disruption
Replaces traditional manual vulnerability reproduction and repair tasks, rendering many current slow and expensive methodologies obsolete, especially in environments demanding urgent security updates.
Product Opportunity
With the rapid deployment of software updates and the requirement for real-time security, organizations need automated tools to ensure code security. Companies facing frequent security challenges will pay for a subscription service to maintain secure code integrity efficiently.
Use Case Idea
Develop a SaaS platform offering automated vulnerability assessment and repair tasks to DevSecOps teams, enhancing their ability to quickly patch and verify security issues in large codebases.
Science
CVE-Factory uses a multi-agent framework that breaks down CVE metadata transformation into distinct tasks handled by specialized agents, ensuring efficient task generation and verification, reducing the cognitive load on any single agent while maintaining expert-level accuracy.
Method & Eval
The CVE-Factory framework was evaluated against benchmark datasets and expert reconstructions, showing high accuracy in task reproduction with over 95% correctness and fidelity, and demonstrated improved validation success on up-to-date vulnerabilities.
Caveats
The system requires updates and maintenance to handle new and evolving programming languages and environments. Additionally, ensuring the security of the automated tasks themselves is critical to prevent misuse.
Author Intelligence
Xianzhen Luo
Harbin Institute of Technology
Jingyuan Zhang
Kuaishou Technology
Shiqi Zhou
Harbin Institute of Technology
Rain Huang
Harbin Institute of Technology
Chuan Xiao
Harbin Institute of Technology
Qingfu Zhu
Harbin Institute of Technology
qfzhu@ir.hit.edu.cn
Zhiyuan Ma
Xing Yue
Kuaishou Technology
Yang Yue
Kuaishou Technology
yueyang07@kuaishou.com
Wencong Zeng
Harbin Institute of Technology
Wanxiang Che
Harbin Institute of Technology