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security-review

Security code review for vulnerabilities.

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<!-- Reference material based on OWASP Cheat Sheet Series (CC BY-SA 4.0) https://cheatsheetseries.owasp.org/ -->

Security Review Skill

Identify exploitable security vulnerabilities in code. Report only HIGH CONFIDENCE findings—clear vulnerable patterns with attacker-controlled input.

Scope: Research vs. Reporting

CRITICAL DISTINCTION:

  • Report on: Only the specific file, diff, or code provided by the user
  • Research: The ENTIRE codebase to build confidence before reporting

Before flagging any issue, you MUST research the codebase to understand:

  • Where does this input actually come from? (Trace data flow)
  • Is there validation/sanitization elsewhere?
  • How is this configured? (Check settings, config files, middleware)
  • What framework protections exist?

Do NOT report issues based solely on pattern matching. Investigate first, then report only what you're confident is exploitable.

Confidence Levels

LevelCriteriaAction
HIGHVulnerable pattern + attacker-controlled input confirmedReport with severity
MEDIUMVulnerable pattern, input source unclearNote as "Needs verification"
LOWTheoretical, best practice, defense-in-depthDo not report

Do Not Flag

General Rules

  • Test files (unless explicitly reviewing test security)
  • Dead code, commented code, documentation strings
  • Patterns using constants or server-controlled configuration
  • Code paths that require prior authentication to reach (note the auth requirement instead)

Server-Controlled Values (NOT Attacker-Controlled)

These are configured by operators, not controlled by attackers:

SourceExampleWhy It's Safe
Django settingssettings.API_URL, settings.ALLOWED_HOSTSSet via config/env at deployment
Environment variablesos.environ.get('DATABASE_URL')Deployment configuration
Config filesconfig.yaml, app.config['KEY']Server-side files
Framework constantsdjango.conf.settings.*Not user-modifiable
Hardcoded valuesBASE_URL = "https://api.internal"Compile-time constants

SSRF Example - NOT a vulnerability:

python
# SAFE: URL comes from Django settings (server-controlled)
response = requests.get(f"{settings.SEER_AUTOFIX_URL}{path}")

SSRF Example - IS a vulnerability:

python
# VULNERABLE: URL comes from request (attacker-controlled)
response = requests.get(request.GET.get('url'))

Framework-Mitigated Patterns

Check language guides before flagging. Common false positives:

PatternWhy It's Usually Safe
Django {{ variable }}Auto-escaped by default
React {variable}Auto-escaped by default
Vue {{ variable }}Auto-escaped by default
User.objects.filter(id=input)ORM parameterizes queries
cursor.execute("...%s", (input,))Parameterized query
innerHTML = "<b>Loading...</b>"Constant string, no user input

Only flag these when:

  • Django: {{ var|safe }}, {% autoescape off %}, mark_safe(user_input)
  • React: dangerouslySetInnerHTML={{__html: userInput}}
  • Vue: v-html="userInput"
  • ORM: .raw(), .extra(), RawSQL() with string interpolation

Review Process

1. Detect Context

What type of code am I reviewing?

Code TypeLoad These References
API endpoints, routesauthorization.md, authentication.md, injection.md
Frontend, templatesxss.md, csrf.md
File handling, uploadsfile-security.md
Crypto, secrets, tokenscryptography.md, data-protection.md
Data serializationdeserialization.md
External requestsssrf.md
Business workflowsbusiness-logic.md
GraphQL, REST designapi-security.md
Config, headers, CORSmisconfiguration.md
CI/CD, dependenciessupply-chain.md
Error handlingerror-handling.md
Audit, logginglogging.md

2. Load Language Guide

Based on file extension or imports:

IndicatorsGuide
.py, django, flask, fastapilanguages/python.md
.js, .ts, express, react, vue, nextlanguages/javascript.md
.go, go.modlanguages/go.md
.rs, Cargo.tomllanguages/rust.md
.java, spring, @Controllerlanguages/java.md

3. Load Infrastructure Guide (if applicable)

File TypeGuide
Dockerfile, .dockerignoreinfrastructure/docker.md
K8s manifests, Helm chartsinfrastructure/kubernetes.md
.tf, Terraforminfrastructure/terraform.md
GitHub Actions, .gitlab-ci.ymlinfrastructure/ci-cd.md
AWS/GCP/Azure configs, IAMinfrastructure/cloud.md

4. Research Before Flagging

For each potential issue, research the codebase to build confidence:

  • Where does this value actually come from? Trace the data flow.
  • Is it configured at deployment (settings, env vars) or from user input?
  • Is there validation, sanitization, or allowlisting elsewhere?
  • What framework protections apply?

Only report issues where you have HIGH confidence after understanding the broader context.

5. Verify Exploitability

For each potential finding, confirm:

Is the input attacker-controlled?

Attacker-Controlled (Investigate)Server-Controlled (Usually Safe)
request.GET, request.POST, request.argssettings.X, app.config['X']
request.json, request.data, request.bodyos.environ.get('X')
request.headers (most headers)Hardcoded constants
request.cookies (unsigned)Internal service URLs from config
URL path segments: /users/<id>/Database content from admin/system
File uploads (content and names)Signed session data
Database content from other usersFramework settings
WebSocket messages

Does the framework mitigate this?

  • Check language guide for auto-escaping, parameterization
  • Check for middleware/decorators that sanitize

Is there validation upstream?

  • Input validation before this code
  • Sanitization libraries (DOMPurify, bleach, etc.)

6. Report HIGH Confidence Only

Skip theoretical issues. Report only what you've confirmed is exploitable after research.


Severity Classification

SeverityImpactExamples
CriticalDirect exploit, severe impact, no auth requiredRCE, SQL injection to data, auth bypass, hardcoded secrets
HighExploitable with conditions, significant impactStored XSS, SSRF to metadata, IDOR to sensitive data
MediumSpecific conditions required, moderate impactReflected XSS, CSRF on state-changing actions, path traversal
LowDefense-in-depth, minimal direct impactMissing headers, verbose errors, weak algorithms in non-critical context

Quick Patterns Reference

Always Flag (Critical)

eval(user_input)           # Any language
exec(user_input)           # Any language
pickle.loads(user_data)    # Python
yaml.load(user_data)       # Python (not safe_load)
unserialize($user_data)    # PHP
deserialize(user_data)     # Java ObjectInputStream
shell=True + user_input    # Python subprocess
child_process.exec(user)   # Node.js

Always Flag (High)

innerHTML = userInput              # DOM XSS
dangerouslySetInnerHTML={user}     # React XSS
v-html="userInput"                 # Vue XSS
f"SELECT * FROM x WHERE {user}"    # SQL injection
`SELECT * FROM x WHERE ${user}`    # SQL injection
os.system(f"cmd {user_input}")     # Command injection

Always Flag (Secrets)

password = "hardcoded"
api_key = "sk-..."
AWS_SECRET_ACCESS_KEY = "..."
private_key = "-----BEGIN"

Check Context First (MUST Investigate Before Flagging)

# SSRF - ONLY if URL is from user input, NOT from settings/config
requests.get(request.GET['url'])     # FLAG: User-controlled URL
requests.get(settings.API_URL)       # SAFE: Server-controlled config
requests.get(f"{settings.BASE}/{x}") # CHECK: Is 'x' user input?

# Path traversal - ONLY if path is from user input
open(request.GET['file'])            # FLAG: User-controlled path
open(settings.LOG_PATH)              # SAFE: Server-controlled config
open(f"{BASE_DIR}/{filename}")       # CHECK: Is 'filename' user input?

# Open redirect - ONLY if URL is from user input
redirect(request.GET['next'])        # FLAG: User-controlled redirect
redirect(settings.LOGIN_URL)         # SAFE: Server-controlled config

# Weak crypto - ONLY if used for security purposes
hashlib.md5(file_content)            # SAFE: File checksums, caching
hashlib.md5(password)                # FLAG: Password hashing
random.random()                      # SAFE: Non-security uses (UI, sampling)
random.random() for token            # FLAG: Security tokens need secrets module

Output Format

markdown
## Security Review: [File/Component Name]

### Summary
- **Findings**: X (Y Critical, Z High, ...)
- **Risk Level**: Critical/High/Medium/Low
- **Confidence**: High/Mixed

### Findings

#### [VULN-001] [Vulnerability Type] (Severity)
- **Location**: `file.py:123`
- **Confidence**: High
- **Issue**: [What the vulnerability is]
- **Impact**: [What an attacker could do]
- **Evidence**:

[Vulnerable code snippet]

- **Fix**: [How to remediate]

### Needs Verification

#### [VERIFY-001] [Potential Issue]
- **Location**: `file.py:456`
- **Question**: [What needs to be verified]

If no vulnerabilities found, state: "No high-confidence vulnerabilities identified."


Reference Files

Core Vulnerabilities (references/)

FileCovers
injection.mdSQL, NoSQL, OS command, LDAP, template injection
xss.mdReflected, stored, DOM-based XSS
authorization.mdAuthorization, IDOR, privilege escalation
authentication.mdSessions, credentials, password storage
cryptography.mdAlgorithms, key management, randomness
deserialization.mdPickle, YAML, Java, PHP deserialization
file-security.mdPath traversal, uploads, XXE
ssrf.mdServer-side request forgery
csrf.mdCross-site request forgery
data-protection.mdSecrets exposure, PII, logging
api-security.mdREST, GraphQL, mass assignment
business-logic.mdRace conditions, workflow bypass
modern-threats.mdPrototype pollution, LLM injection, WebSocket
misconfiguration.mdHeaders, CORS, debug mode, defaults
error-handling.mdFail-open, information disclosure
supply-chain.mdDependencies, build security
logging.mdAudit failures, log injection

Language Guides (languages/)

  • python.md - Django, Flask, FastAPI patterns
  • javascript.md - Node, Express, React, Vue, Next.js
  • go.md - Go-specific security patterns
  • rust.md - Rust unsafe blocks, FFI security
  • java.md - Spring, Java EE patterns

Infrastructure (infrastructure/)

  • docker.md - Container security
  • kubernetes.md - K8s RBAC, secrets, policies
  • terraform.md - IaC security
  • ci-cd.md - Pipeline security
  • cloud.md - AWS/GCP/Azure security
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