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作者:admin 发布:2026-10-06

deep-security-check - Defensive, read-only security assessment skill for

项目说明<di="center">🛡️ deep-security-checkA defensi security assessment for any local project — with a _reproducible_ reliability grade.P…
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deep-security-check - Defensive, read-only security assessment skill for

项目说明

<di="center">

🛡️ deep-security-check

A defensi security assessment for any local project — with a _reproducible_ reliability grade.

Point it at a codebase. It runs best-in-class open-source scanners and returns a graded report (0–100, A–F) where the number comes from a deterministic rubric, not model opinion.

![License: MIT](LICENSE)
![]()
![Read-only](#-guarantees)
![Zero traffic to targets](#-guarantees)
![Claude Code]()

!deep-security-check demo: scan a project, get a reproducible grade

</div>

---

Contents

  • Why

  • Quick start

  • What it runs

  • The grade

  • Noise reduction

  • Requirements

  • Works offline / behind a proxy

  • Use it without Claude

  • Guarantees

  • License
  • 💡 Why

    Ask an AI "is this project secure?" and you get a plausible-sounding essay that
    changes every time you ask. That is not a measurement.

    deep-security-check gives you a number you can reproduce and defend: a
    small Python script owns the scoring with fixed penalties and hard ceilings, so
    the same findings always produce the same grade. The model narrates the results
    — it ne the number.

    🚀 Quick start

    Then just ask Claude:

    > *"How reliable is this project, security-wise?"*

    <sub>Installing from a local clone instead? /plugin marketplace add /path/to/security-scan-skill</sub>

    🔍 What it runs

    | Layer | Tool | What it catches |
    |-------|------|-----------------|
    | SAST | Semgrep — or Opengrep (LGPL fork) as a drop-in when semgrep is absent | Injection, unsafe deserialization, weak crypto, CI/CD & IaC misconfig |
    | SCA | os — trivy as fallback | Known CVEs and malicious packages in your dependencies |
    | Secrets | gitleaks ( fallback bundled) | Hardcoded credentials — in the working tree and the git history |

    Plus three ad passes that ne the grade:

  • 🌐 Dynamic-test surface (surface.py) — a static, zero-traffic map of where a DAST run *would* look (permissive CORS, missing security headers, insecure cookies, debug/bind-all).

  • 🧱 Structure hygiene (structure.py) — README, LICENSE, tests, CI, lockfiles, pinned deps, committed .env, SECURITY.md, dependabot/renovate, Dockerfile root user.

  • 📦 SBOM — a CycloneDX artifact via syft when present.
  • 📊 The grade

    score.py owns the number, so it is deterministic. Start at 100, subtract capped
    per-se penalties over all findings, then apply hard ceilings:

    | se | penalty each | cap |
    |----------|:------------:|:---:|
    | 🔴 critical | 25 | 60 |
    | 🟠 high | 8 | 30 |
    | 🟡 medium | 1.5 | 15 |
    | ⚪ low | 0.25 | 6 |

    Ceilings — any critical → score ≤ 69 · any high → score ≤ 84 · any malicious package → score ≤ 20.

    | Grade | Range | Meaning |
    |:-----:|:-----:|---------|
    | A | 90–100 | Solid |
    | B | 80–89 | Solid, minor debt |
    | C | 70–79 | Manageable debt |
    | D | 60–69 | Real risk |
    | E | 50–59 | Real risk |
    | F | <50 | Not trustworthy until fixed |

    assessment_confidence tells you how much to trust the score itself: high only
    when all three scanner classes ran. A one-shot static scan is never a substitute
    for a pentest — and the report says so.

    > Reproduce the rubric by hand, or run python3 …/score.py --selfcheck.

    🧹 Noise reduction

    So the grade reflects real risk, not scanner o:

  • Cross-scanner dedup — the same file:line flagged by two tools counts once.

  • Path-aware triage — findings under tests/, fixtures/, examples/, mocks/ … are downgraded one se step (a hardcoded credential in a fixture is not a production leak).

  • Malware first — OSV MAL-* ad are surfaced as malicious_packages, separate from CVEs, and hard-cap the score. A malicious dependency dominates e.
  • The triage field in the report shows exactly what was deduped and downgraded.

    Two more passes are opt-in via --project <dir> on score.py:

  • Reachability-lite — an SCA finding whose package name ne in the source is downgraded one step (declared-but-unused). Heuristic and conser: it ne a finding, only downgrades on a confident zero-match.

  • .dsc-ignore — suppress accepted findings with a mandatory justification (<path-glob>:<ruleId-or-*> -- why). Suppressed findings are listed in the report with their reason; a rule missing its justification is rejected, not applied. Suppression stays , ne.
  • 🧰 Requirements

    At least one scanner on your PATH — more installed → higher confidence:

    | Tool | Install |
    |------|---------|
    | Semgrep | pipx install semgrep |
    | os | releases |
    | gitleaks | releases — * fallback included* |

    Optional, used automatically when present: trivy (SCA fallback), syft (SBOM), opengrep (drop-in SAST engine).

    🔌 Works offline / behind a proxy

    Egress-restricted en (corporate proxies, the Claude Cowork sandbox)
    degrade gracefully instead of hanging or failing:

  • Semgrep registry unreachable → falls back to a bundled MIT ruleset (rules/offline-basic.yaml, ~30 high-precision rules incl. CI/CD & IaC). Reduced co — and the report says so.

  • gitleaks missing on Linux x86_64 → a checksum- binary is used.

  • No SCA tool / OS → the report states plainly that dependency CVEs were not checked, and confidence is capped.
  • <sub>Knobs: DSC_SEMGREP_CONFIG (local ruleset), DSC_SEMGREP_TIMEOUT, DSC_TRI, DSC_SKIP_HISTORY.</sub>

    🖥️ Use it without Claude

    The scripts are plain bash + Python with no project-specific dependencies:

    Re-scanning over time? Add --baseline <old.json> to score.py for a
    delta (improved / worsened, per-se).

    ✅ Guarantees

  • Read-only. It reads the project and ne it.

  • Zero traffic to targets. It ne network traffic to live or remote hosts. (Scanners may query package databases like OSV.dev with dependency *names* — see PRIVACY.md.)

  • Defensive only. For code you own or are authorized to inspect. Not a penetration test; DAST is intentionally out of scope for a publicly installable skill.
  • 📄 License

    MIT. See also PRIVACY.md · ROADMAP.md · SECURITY.md.

    项目信息

    开发语言:Python

    Star 数:2

    技术要点

    该项目属于防护思路方向的开源资源,代码结构清晰,适合安全研究人员学习参考。项目围绕Defensive, read-only security assessment skill for Claude Code (Semgrep + osv-scanner + gitleaks) with a reproducible reliability grade (0-100, A-F).展开,提供了可运行的实现,对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

    从技术实现角度看,此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论,梳理项目的初始化流程、核心模块职责与数据流转,逐步掌握其中的技术细节与设计思路。

    使用与学习建议

    1. 下载源码压缩包,解压到本地环境。

    2. 根据项目类型准备对应的运行环境与依赖。

    3. 按照 README 中的步骤完成配置与部署。

    4. 在隔离的测试环境中运行验证,避免影响生产系统。

    免责声明

    本资源来源于开源社区,仅供安全研究、技术学习与合法授权范围内的攻防演练使用,请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。

    资源标题deep-security-check - Defensive, read-only security assessment skill for
    所属分类防护思路
    发布作者admin
    发布时间2026-10-06 00:20:37
    下载权限 免费下载
    附件数量2 个下载链接
    浏览次数149
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