cyhber-deploy

Cyhber Deploy

Overview

Systematic DevSecOps review methodology enforcing 5-layer analysis with standardized severity-tagged alerts.

Purpose: Ensure comprehensive, structured security review - not ad-hoc vulnerability detection.

When to Use

Trigger on:

• Deploy preparation (staging/production)
• CI/CD changes (workflows, pipelines, build scripts)
• IaC modifications (Terraform, K8s, Docker, cloud config)
• Auth/authz/session handling code
• Secret management changes
• Security review requests
• Suspicious patterns (injection, exposed secrets, overprivileged access)

Also trigger when user mentions:

• GitHub Actions, GitLab CI, Jenkins, CircleCI
• AWS, GCP, Azure cloud resources
• Docker, Kubernetes, Helm
• SQL queries, database access
• API keys, tokens, certificates
• Environment variables, config files

Systematic 5-Layer Review

ALWAYS follow this order - don't skip layers based on request scope:

1. Gather context — languages, app type, environments, deploy target
2. Summarize scope — state what you are about to review
3. Layer 1: Code validation
4. Layer 2: Dependencies
5. Layer 3: Secrets & PII
6. Layer 4: CI/CD pipeline
7. Layer 5: Infrastructure
8. Generate alerts (severity-tagged tables)
9. Calculate risk level
10. Decision → any 🔴 CRITICO or unmitigated 🟠 ALTO = BLOCK; otherwise APPROVE with mitigations

Context Gathering

Ask if missing:

• Languages/frameworks: Node.js, Python, Go, Java, etc.
• App type: API, frontend, microservices, monolith
• Environments: dev, staging, production
• Deploy platform: AWS, GCP, Azure, on-premise, Vercel, Railway
• Related files: CI/CD configs, IaC, environment configs

Standardized Alert Format

Every security issue MUST use this table:

Campo	Valor
Severidad	🔴 CRITICO | 🟠 ALTO | 🟡 MEDIO | 🟢 BAJO
ID	CD-SEC-XXX (sequential)
Componente	file.js:line or resource name
Descripción	What + why it's a risk
Evidencia	Code snippet or config excerpt
Remediación	Specific fix steps

Severity levels:

• 🔴 CRITICO: Immediate exploitation possible (injection, hardcoded secrets, public DB)
• 🟠 ALTO: Exploitation likely with recon (weak auth, missing authz, exposed admin)
• 🟡 MEDIO: Requires chained exploits (verbose errors, missing headers, old deps)
• 🟢 BAJO: Defense-in-depth improvements (logging gaps, config hardening)

Layer 1: Code Validation

Input Validation

Check ALL user-controlled inputs:

• Type, size, format validation
• Whitelist over blacklist
• Reject vs sanitize (prefer reject)

Injection Patterns

// ❌ SQL Injection
db.query(`SELECT * FROM users WHERE id = ${req.body.id}`)

// ❌ Command Injection  
exec(`ping ${userInput}`)

// ❌ NoSQL Injection - body can inject operators, e.g. { "user": { "$ne": null } }
db.find({ user: req.body.user })   // bypasses auth if req.body.user is an object

// ✅ Coerce/validate type before querying
db.find({ user: String(req.body.user) })

// ✅ Parameterized SQL queries
db.query('SELECT * FROM users WHERE id = ?', [req.body.id])

Auth/Authz

• Endpoints require authentication?
• Authorization checks present (not just authn)?
• IDOR vulnerabilities (user A access user B data)?
• Session management secure (httpOnly, secure, sameSite)?

Layer 2: Dependencies

Check:

• Outdated packages (>2 years old)
• Known CVEs (check npm audit, pip-audit, Snyk)
• Unmaintained libraries
• Transitive dependency surprises

Tools to recommend:

• SAST: Semgrep, CodeQL, Snyk Code
• SCA: Dependabot, Renovate, npm audit
• Secrets: TruffleHog, GitGuardian, git-secrets

Layer 3: Secrets & PII

Secret Patterns

See @secret-patterns.md for full regex list.

Common patterns:

• AWS: AKIA[0-9A-Z]{16}
• GitHub: ghp_[a-zA-Z0-9]{36}
• Private keys: -----BEGIN.*PRIVATE KEY-----
• Generic API keys: api[_-]?key.*['"][a-zA-Z0-9]{20,}['"]

🔴 CRITICO when:

• Hardcoded in source
• Logged to stdout/files
• Committed to git history
• Exposed in error messages

Secure handling:

• Move to Secrets Manager / Vault / Key Vault
• Env vars with restrictive permissions
• .env.example templates (no real values)
• Auto-rotation policies

PII Detection

Flag unprotected handling of:

• Names, emails, phone numbers
• Financial, health, govt IDs
• Children's data
• IP addresses, geolocation

Recommend:

• Minimize collection
• Encrypt at rest + transit
• Retention policies
• Anonymization where possible

Layer 4: CI/CD Pipeline

Pre-Deploy Checklist

• Unit + integration tests
• SAST scan
• SCA scan
• Secret scan
• Linting + formatting
• Build success

Pipeline Hardening

# ✅ GitHub Actions best practices
permissions:
  contents: read        # Minimal permissions
  pull-requests: write

jobs:
  deploy-prod:
    if: github.ref == 'refs/heads/main'  # Branch restriction
    environment:
      name: production
      url: https://app.example.com
    needs: [test, security-scan]  # Dependencies

Check for:

• Deploys restricted to protected branches
• Manual approval for production
• Secrets not echoed to logs
• Minimal runner permissions
• Rollback plan exists

Layer 5: Infrastructure

Exposure Checks

# ❌ Database publicly accessible
resource "aws_db_instance" "db" {
  publicly_accessible = true
}

# ❌ Overly permissive security group
ingress {
  cidr_blocks = ["0.0.0.0/0"]
  from_port   = 0
  to_port     = 65535
}

Review:

• Public vs private subnets
• Security groups / firewalls (least privilege)
• Unused ports exposed
• Internal services require auth

IAM / RBAC

// ❌ Admin wildcard
{"Effect": "Allow", "Action": "*", "Resource": "*"}

// ✅ Specific permissions
{
  "Effect": "Allow",
  "Action": ["s3:GetObject", "s3:PutObject"],
  "Resource": "arn:aws:s3:::bucket-name/*"
}

Apply least privilege principle.

Transport & Encryption

• TLS 1.2+ on public endpoints
• Valid certificates (auto-renew)
• HSTS enabled
• Encryption at rest for sensitive data
• VPN/tunnels for admin access

Proactive Scope Expansion

Even if user only asks about X, review related files when available:

User asks about...	Also check...
Auth endpoint	Session config, token generation, password reset
CI/CD workflow	Secrets management, branch protection, runner security
Database config	Connection strings, backup encryption, access logs
API route	Input validation, rate limiting, error responses
Container image	Base image CVEs, exposed ports, secret mounts

Make scope expansion explicit:

"Beyond the auth endpoint, I reviewed related session configuration (found issue Y)."

Red Flags - STOP

These thoughts mean rationalization:

• "Internal tool, lower risk"
• "Emergency, fix later"
• "Senior approved, must be safe"
• "Tests passing = secure"
• "Quick change, not security-related"
• "13th review today, looks fine"
• "Just frontend, no backend/infra relevant"
• "Read-only component, no input validation needed"

All of these = run full 5-layer review anyway.

Common Mistakes

Mistake	Reality
"Internal API, no validation needed"	Internal = lateral movement target. Validate everything.
"Will fix secrets after deploy"	Never happens. Fix now or block deploy.
"One-off deploy, skip CI"	One-offs cause most incidents. Full checks always.
"Tests passed = secure"	Tests check functionality, not security. Separate concerns.
"Senior reviewed, I trust them"	Humans miss things under pressure. Systematic review always.
"Alert fatigue, ignoring MEDIUM"	MEDIUM today = CRITICAL tomorrow. Document all findings.

Final Risk Assessment

After generating all alerts, provide:

┌─────────────────────────────────────────────┐
│ 🔒 ESTADO DE SEGURIDAD                      │
├─────────────────────────────────────────────┤
│ Nivel de riesgo:  [🔴 CRITICO / 🟠 ALTO /  │
│                    🟡 MEDIO / 🟢 BAJO]      │
│ Alertas totales:  X                         │
│   • Críticas:     N                         │
│   • Altas:        N                         │
│   • Medias:       N                         │
│   • Bajas:        N                         │
├─────────────────────────────────────────────┤
│ ⚠️  RECOMENDACIÓN:                          │
│ [BLOQUEAR / APROBAR CON MITIGACIONES]      │
└─────────────────────────────────────────────┘

Optional terminal render: emit the findings as JSON (schema in tools/findings.example.json) and pipe to python tools/cyhber_report.py to print colored alert cards + this panel. Exit code 1 = block, 0 = approve (CI-friendly).

Block deployment when:

• Any 🔴 CRITICO alert (1 or more), OR
• 3 or more 🟠 ALTO alerts without documented mitigations
• User insists on deploying despite risks → proceed only with explicit written acknowledgement, and document the accepted risk

Limitations

• Analysis is static (no dynamic testing)
• Based only on provided context
• Not a substitute for penetration testing
• Regulatory compliance = user's responsibility

References

• OWASP Top 10: https://owasp.org/www-project-top-ten/
• CWE Top 25: https://cwe.mitre.org/top25/
• NIST CSF: https://www.nist.gov/cyberframework