FixVibe

// 代码 / 聚焦

Risky Source-Code Patterns

eval(), dangerouslySetInnerHTML, hard-coded secrets — the patterns SAST has been catching for 25 years.

概要

Most exploits in production codebases don't require novel research. They require a grep for `eval(` and a question about where the input came from. Static-analysis tooling has been catching the same small set of high-confidence patterns for two and a half decades — eval-with-user-input, dangerouslySetInnerHTML, exec-with-string, hard-coded credentials, unsafe deserialization, weak crypto primitives — and yet they keep showing up in modern code because the alternatives feel like more work in the moment. The bug class is well-understood; the persistence is operational. SAST works best when you accept that 95% of findings are signal, not noise, and treat the patterns as anti-patterns in code review.

運作方式

Each language has a small list of constructs that turn data into code: `eval()`, `Function(string)`, `setTimeout(string)`, `pickle.loads()` in Python, `Marshal.load` in Ruby, `unserialize()` in PHP. Combined with user input, they're vulnerabilities. Each language also has framework-specific opt-out paths from safety: React's `dangerouslySetInnerHTML`, Vue's `v-html`, Angular's `bypassSecurityTrust*`. And every codebase has a long tail of hard-coded credentials — Stripe keys, Supabase service-role JWTs, internal API tokens — that survived from a 'temporary' commit in 2022. The SAST patterns we run are conservative: high-precision (low false-positive rate) at the cost of recall. We'd rather flag five real bugs than fifty maybe-bugs that lead the team to ignore the report.

变种

eval / Function constructor

Direct code execution from a string. Combined with any user-controllable input, RCE-class. Even without user input, hard to refactor and harder to verify safe.

dangerouslySetInnerHTML / v-html

React / Vue opt-out from XSS-safe rendering. Sometimes legitimate (rendering server-sanitized markdown), more often a code smell.

Hard-coded service-role keys

Supabase service-role JWT, Firebase admin SDK creds, Stripe sk_live_, internal API tokens checked into source. The service-role key in client-side code bypasses RLS entirely.

Unsafe deserialization

Python `pickle.loads`, Ruby `Marshal.load`, Java native serialization, PHP `unserialize`. RCE on untrusted input — these classes have been exploited at industrial scale.

影响范围

Tracks the pattern: eval is RCE, dangerouslySetInnerHTML is XSS, service-role-key embed is full database access bypassing RLS, hard-coded sk_live is billing takeover, unsafe deserialization is RCE. Each pattern catches one or more breaches per year somewhere in the industry; in your codebase, each is a potential incident waiting to be exploited.

// what fixvibe checks

What FixVibe checks

FixVibe repo scans look for high-confidence security patterns and dependency risk in source context. Reports identify the affected area and recommended fix. For check-specific questions about exact detection heuristics, active payload details, or source-code rule patterns, contact support@fixvibe.app.

铁壁防御

Adopt the patterns as anti-patterns in code review — make 'why does this code use eval?' a standard PR question. Add an ESLint config like `eslint-plugin-security`, `eslint-plugin-security-node`, or your language's equivalent (Bandit for Python, RuboCop's security cops for Ruby, Brakeman for Rails). Block secret leakage at commit time with gitleaks or trufflehog pre-commit hooks; the muscle memory of 'oh I shouldn't commit that' is more reliable than 'I should remember to remove it later.' Replace `dangerouslySetInnerHTML` with explicit DOMPurify calls when you need user-supplied HTML. Move all credentials into environment variables, fronted by a secret manager (Doppler, Vercel env, AWS Secrets Manager, HashiCorp Vault). For deserialization on untrusted input, use schema-validated JSON via Zod / Yup / Pydantic — never the language-native serialization formats.

// 在你自己的应用上跑一遍

放心继续发布,FixVibe 持续帮你看守风险。

FixVibe 像攻击者一样对你的应用公开面进行压力测试 —— 无代理、无安装、无信用卡。我们持续研究新的漏洞模式,并把它们转化成实用检查和可直接用于 Cursor、Claude、Copilot 的修复方案。

源代码
52
本类别中触发的测试
模块
14
专属 源代码 检查
每次扫描
384+
跨所有类别的测试
  • 免费 —— 无需信用卡,无需安装,无需 Slack 通知
  • 只需粘贴 URL —— 我们爬取、探测、生成报告
  • 按严重程度分级,去重至只剩信号
  • 最新 AI 修复提示词,可直接粘贴到 Cursor、Claude、Copilot
运行免费扫描

// 最新检查 · 实用修复 · 安心发布

Risky Source-Code Patterns — 漏洞聚焦 | FixVibe · FixVibe