扫描报告
5 /100
stock-selector
A 股选股工具 - 支持分阶段筛选、批量查询、自动化选股 (A-Share Stock Selector)
A legitimate A-share stock selector tool with no malicious behavior; fetches market data from Tencent Finance and filters stocks through 4 strategy stages.
可以安装
This skill is safe to use. No action required.
安全发现 3 项
| 严重性 | 安全发现 | 位置 |
|---|---|---|
| 低危 | Documented file structure not present 文档欺骗 | SKILL.md:89 |
| 低危 | Unpinned requests dependency 供应链 | package.json:29 |
| 低危 | Hardcoded absolute path in stock_selector_v8.py 权限提升 | stock_selector_v8.py:17 |
| 资源类型 | 声明权限 | 推断权限 | 状态 | 证据 |
|---|---|---|---|---|
| 网络访问 | READ | READ | ✓ 一致 | requests.get(url) to qt.gtimg.cn |
| 文件系统 | READ | READ | ✓ 一致 | load_stock_pool reads local JSON; results written to configured output_dir |
| 命令执行 | NONE | NONE | — | No subprocess/shell calls found in any file |
| 环境变量 | NONE | NONE | — | Only reads STOCK_OUTPUT_DIR and STOCK_POOL_FILE env vars for configuration |
| 剪贴板 | NONE | NONE | — | Not accessed |
| 浏览器 | NONE | NONE | — | Not accessed |
| 数据库 | NONE | NONE | — | Not accessed |
| 技能调用 | NONE | NONE | — | No inter-skill invocation |
1 项发现
中危 外部 URL 外部 URL
https://qt.gtimg.cn/q= stock_selector.py:46 目录结构
5 文件 · 26.1 KB · 877 行 Python 3f · 610L
Markdown 1f · 230L
JSON 1f · 37L
├─
▾
tests
│ └─
test_selector.py
Python
├─
package.json
JSON
├─
SKILL.md
Markdown
├─
stock_selector_v8.py
Python
└─
stock_selector.py
Python
依赖分析 1 项
| 包名 | 版本 | 来源 | 已知漏洞 | 备注 |
|---|---|---|---|---|
requests | >=2.28.0 | package.json | 否 | Version not pinned to a specific release |
安全亮点
✓ No shell execution (subprocess, os.system) in any file
✓ No credential harvesting or environment variable iteration for secrets
✓ No base64 or encoded payloads
✓ No reverse shell, C2, or data exfiltration patterns
✓ No hidden HTML comments or steganographic payloads
✓ No access to sensitive paths (~/.ssh, ~/.aws, .env)
✓ No eval(), exec(), or dynamic code execution
✓ No curl|bash or wget|sh remote script installation
✓ No obfuscation techniques detected
✓ Network requests are limited to a single, declared data source (qt.gtimg.cn)
✓ Dependencies are minimal (only the requests library)
✓ Both scripts are straightforward, readable Python with no suspicious patterns