CyberFactory: Scaling Cyber Security Capabilities with Instances from the Wild

📅 2026-08-24
📈 Citations: 0
Influential: 0
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🤖 AI Summary
本文提出CyberFactory框架,通过将公开漏洞转换为可执行任务实例,并使用技能引导的方法训练模型,以提高开源语言模型在网络安全中的能力。
📝 Abstract
As large language models (LLMs) continue to advance in coding capabilities, their potential in cybersecurity has drawn increasing research attention, with closed-source LLMs (e.g., Mythos) delivering advanced cybersecurity capabilities. However, existing open-source efforts remain limited: frontier open-weight models do not provide reproducible cybersecurity training solutions, open-source training solutions focus on isolated tasks and lack scalable agentic data, and scaling agentic rollouts requires strong domain priors. In this work, we introduce \textbf{CyberFactory}, a unified open-source framework that connects data construction, trajectory synthesis, and model training across proof-of-concept (PoC) generation, vulnerability patching, and cybersecurity question answering (CyberQA). CyberFactory transforms public vulnerability artifacts, including CVEs from the wild, into executable and verifiable task instances. It further uses a reusable vulnerability-analysis skill to guide the teacher through source inspection, problem solving with domain prior, and evidence-based validation. The resulting supervision is agentic: the model interacts with tools and target environments and revises its solutions according to execution feedback. Using these trajectories, we train and release \modelname\footnote{\emph{Aegis} is, in Greek mythology, the protective shield of Zeus and Athena; the name reflects the model's defensive, security-oriented purpose.}, which internalizes the skill-guided procedure without requiring the skill at inference time. On CyberGym, \modelname reaches 52.4% Pass@1 under a one-hour budget, improving over its Qwen~3.5 base model by +22.8 points and outperforming the evaluated general-purpose backbones under the same scaffold.
Problem

Research questions and friction points this paper is trying to address.

open-source
cybersecurity
scalability
domain priors
training solutions
Innovation

Methods, ideas, or system contributions that make the work stand out.

CyberFactory
agentic supervision
vulnerability analysis skill
scalable agentic data
Aegis
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