Analyzing Malware Sandbox Evasion Techniques
通过分析 Cuckoo/AnyRun 行为报告中的时序检查、虚拟机工件查询、用户交互检测和睡眠膨胀模式，检测恶意软件样本中的沙箱逃避技术
Install
$ agentstack add skill-killvxk-cybersecurity-skills-zh-analyzing-malware-sandbox-evasion-techniques ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-killvxk-cybersecurity-skills-zh-analyzing-malware-sandbox-evasion-techniques) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
分析恶意软件沙箱逃避技术
概述
沙箱逃避（MITRE ATT&CK T1497）允许恶意软件检测分析环境并改变行为以规避检测。本技能分析 Cuckoo Sandbox 和 AnyRun 的行为报告中的逃避指标，包括基于时序的检查（GetTickCount、QueryPerformanceCounter、睡眠膨胀）、虚拟机工件检测（注册表键、MAC 地址前缀、进程名称如 vmtoolsd.exe）、用户交互检测（鼠标移动、键盘输入）和环境指纹识别（磁盘大小、CPU 数量、内存容量）。检测规则标记表现出这些行为的样本以供深入人工分析。
前置条件
- Cuckoo Sandbox 2.0+ 或 AnyRun 账户，用于行为分析报告
- Python 3.8+，带 json 库用于报告解析
- JSON 格式的行为报告导出
步骤
- 解析 Cuckoo/AnyRun 行为报告 JSON 文件
- 提取与时序相关函数的 API 调用序列
- 通过注册表查询和 WMI 调用识别虚拟机工件检测
- 通过比较请求的与实际的睡眠时长检测睡眠膨胀
- 标记用户交互检测（GetCursorPos、GetAsyncKeyState 模式）
- 根据技术数量和多样性对逃避复杂性进行评分
- 将检测到的技术映射到 MITRE ATT&CK T1497 子技术
预期输出
JSON 报告，列出检测到的逃避技术及 MITRE ATT&CK 映射、API 调用证据、逃避复杂性评分，以及逃避类别分类（时序、虚拟机检测、用户交互、环境指纹识别）。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: killvxk
- Source: killvxk/cybersecurity-skills-zh
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.