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Django Access Review

  • 1 installs
  • 44k repo stars
  • Updated July 27, 2026
  • sickn33/antigravity-awesome-skills

This is a copy of django-access-review by getsentry - installs and ranking accrue to the original listing.

django-access-review is an agent skill that investigates Django and DRF code to confirm object-level authorization and IDOR risk through traced data flows.

About

django-access-review is an agent skill for developers shipping Django or Django REST Framework backends who need proof—not assumptions—about object-level authorization. Instead of scanning for canned anti-patterns, it drives an investigation: understand how this project enforces permissions, follow concrete request and queryset paths, and report only confirmed gaps where one principal could read or mutate another’s data. The workflow fits pre-release security passes, PR review on auth-sensitive endpoints, and tenant or B2B APIs where IDOR is the default failure mode. You install it when keywords like IDOR, access control, DRF viewsets, or object permissions show up in the task, and you want findings tied to traced code rather than generic checklists. It complements automated scanners by focusing on how your app actually answers authorization at runtime and in query construction.

  • Investigation-first question: can User A access, modify, or delete User B’s data?
  • Traces real Django views, DRF viewsets, and ORM query paths to find missing checks
  • OWASP Cheat Sheet–aligned reference framing for authorization review
  • Explicitly avoids blind vulnerable-pattern scanning in favor of codebase-specific flows
  • Trigger-oriented for IDOR, Django permissions, object permissions, and multi-tenant access

Django Access Review by the numbers

  • 1 all-time installs (skills.sh)
  • Security screen: LOW risk (skills.sh audit)
  • Data as of Jul 28, 2026 (Skillselion catalog sync)
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill django-access-review

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Listed on Skillselion
Installs1
repo stars44k
Security audit2 / 3 scanners passed
Last updatedJuly 27, 2026
Repositorysickn33/antigravity-awesome-skills

What it does

Run an investigation-driven Django and DRF authorization review so you can confirm whether one user can reach another user’s objects before you ship.

Who is it for?

Best when you're shipping multi-tenant SaaS, marketplaces, or user-owned resources on Django/DRF and need a manual IDOR and permissions pass before production.

Skip if: Greenfield apps with no user-specific data yet, or teams that only want dependency CVE scanning without reading view/query code.

When should I use this skill?

Reviewing Django views, DRF viewsets, ORM queries, or Python/Django code for IDOR, access control, authorization, Django permissions, object permissions, or tenant isolation.

What you get

You get an evidence-backed authorization review mapped to your real views and queries, with confirmed access-control gaps prioritized for fix before merge or release.

  • Confirmed authorization findings with traced code paths
  • Answers to whether User A can access or mutate User B’s data for scoped flows

By the numbers

  • Investigation philosophy: four steps—understand, question, trace, report confirmed findings only
  • OWASP Cheat Sheet Series reference material (CC BY-SA 4.0)

Files

SKILL.mdMarkdownGitHub ↗

--- name: django-access-review description: Django access control and IDOR security review. Use when reviewing Django views, DRF viewsets, ORM queries, or any Python/Django code handling user authorization. Trigger keywords: "IDOR", "access control", "authorization", "Django permissions", "object permissions", "tenant... --- LICENSE ---

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

Django Access Control & IDOR Review

Find access control vulnerabilities by investigating how the codebase answers one question:

Can User A access, modify, or delete User B's data?

When to Use

  • You need to review Django or DRF code for access control gaps, IDOR risk, or object-level authorization failures.
  • The task involves confirming whether one user can access, modify, or delete another user's data.
  • You want an investigation-driven authorization review instead of generic pattern matching.

Philosophy: Investigation Over Pattern Matching

Do NOT scan for predefined vulnerable patterns. Instead:

1. Understand how authorization works in THIS codebase 2. Ask questions about specific data flows 3. Trace code to find where (or if) access checks happen 4. Report only what you've confirmed through investigation

Every codebase implements authorization differently. Your job is to understand this specific implementation, then find gaps.

---

Phase 1: Understand the Authorization Model

Before looking for bugs, answer these questions about the codebase:

How is authorization enforced?

Research the codebase to find:

□ Where are permission checks implemented?
  - Decorators? (@login_required, @permission_required, custom?)
  - Middleware? (TenantMiddleware, AuthorizationMiddleware?)
  - Base classes? (BaseAPIView, TenantScopedViewSet?)
  - Permission classes? (DRF permission_classes?)
  - Custom mixins? (OwnershipMixin, TenantMixin?)

□ How are queries scoped?
  - Custom managers? (TenantManager, UserScopedManager?)
  - get_queryset() overrides?
  - Middleware that sets query context?

□ What's the ownership model?
  - Single user ownership? (document.owner_id)
  - Organization/tenant ownership? (document.organization_id)
  - Hierarchical? (org -> team -> user -> resource)
  - Role-based within context? (org admin vs member)

Investigation commands

# Find how auth is typically done
grep -rn "permission_classes\|@login_required\|@permission_required" --include="*.py" | head -20

# Find base classes that views inherit from
grep -rn "class Base.*View\|class.*Mixin.*:" --include="*.py" | head -20

# Find custom managers
grep -rn "class.*Manager\|def get_queryset" --include="*.py" | head -20

# Find ownership fields on models
grep -rn "owner\|user_id\|organization\|tenant" --include="models.py" | head -30

Do not proceed until you understand the authorization model.

---

Phase 2: Map the Attack Surface

Identify endpoints that handle user-specific data:

What resources exist?

□ What models contain user data?
□ Which have ownership fields (owner_id, user_id, organization_id)?
□ Which are accessed via ID in URLs or request bodies?

What operations are exposed?

For each resource, map:

  • List endpoints - what data is returned?
  • Detail/retrieve endpoints - how is the object fetched?
  • Create endpoints - who sets the owner?
  • Update endpoints - can users modify others' data?
  • Delete endpoints - can users delete others' data?
  • Custom actions - what do they access?

---

Phase 3: Ask Questions and Investigate

For each endpoint that handles user data, ask:

The Core Question

"If I'm User A and I know the ID of User B's resource, can I access it?"

Trace the code to answer this:

1. Where does the resource ID enter the system?
   - URL path: /api/documents/{id}/
   - Query param: ?document_id=123
   - Request body: {"document_id": 123}

2. Where is that ID used to fetch data?
   - Find the ORM query or database call

3. Between (1) and (2), what checks exist?
   - Is the query scoped to current user?
   - Is there an explicit ownership check?
   - Is there a permission check on the object?
   - Does a base class or mixin enforce access?

4. If you can't find a check, is there one you missed?
   - Check parent classes
   - Check middleware
   - Check managers
   - Check decorators at URL level

Follow-Up Questions

□ For list endpoints: Does the query filter to user's data, or return everything?

□ For create endpoints: Who sets the owner - the server or the request?

□ For bulk operations: Are they scoped to user's data?

□ For related resources: If I can access a document, can I access its comments?
  What if the document belongs to someone else?

□ For tenant/org resources: Can User in Org A access Org B's data by changing
  the org_id in the URL?

---

Phase 4: Trace Specific Flows

Pick a concrete endpoint and trace it completely.

Example Investigation

Endpoint: GET /api/documents/{pk}/

1. Find the view handling this URL
   → DocumentViewSet.retrieve() in api/views.py

2. Check what DocumentViewSet inherits from
   → class DocumentViewSet(viewsets.ModelViewSet)
   → No custom base class with authorization

3. Check permission_classes
   → permission_classes = [IsAuthenticated]
   → Only checks login, not ownership

4. Check get_queryset()
   → def get_queryset(self):
   →     return Document.objects.all()
   → Returns ALL documents!

5. Check for has_object_permission()
   → Not implemented

6. Check retrieve() method
   → Uses default, which calls get_object()
   → get_object() uses get_queryset(), which returns all

7. Conclusion: IDOR - Any authenticated user can access any document

What to look for when tracing

Potential gap indicators (investigate further, don't auto-flag):
- get_queryset() returns .all() or filters without user
- Direct Model.objects.get(pk=pk) without ownership in query
- ID comes from request body for sensitive operations
- Permission class checks auth but not ownership
- No has_object_permission() and queryset isn't scoped

Likely safe patterns (but verify the implementation):
- get_queryset() filters by request.user or user's org
- Custom permission class with has_object_permission()
- Base class that enforces scoping
- Manager that auto-filters

---

Phase 5: Report Findings

Only report issues you've confirmed through investigation.

Confidence Levels

LevelMeaningAction
HIGHTraced the flow, confirmed no check existsReport with evidence
MEDIUMCheck may exist but couldn't confirmNote for manual verification
LOWTheoretical, likely mitigatedDo not report

Suggested Fixes Must Enforce, Not Document

Bad fix: Adding a comment saying "caller must validate permissions" Good fix: Adding code that actually validates permissions

A comment or docstring does not enforce authorization. Your suggested fix must include actual code that:

  • Validates the user has permission before proceeding
  • Raises an exception or returns an error if unauthorized
  • Makes unauthorized access impossible, not just discouraged

Example of a BAD fix suggestion:

def get_resource(resource_id):
    # IMPORTANT: Caller must ensure user has access to this resource
    return Resource.objects.get(pk=resource_id)

Example of a GOOD fix suggestion:

def get_resource(resource_id, user):
    resource = Resource.objects.get(pk=resource_id)
    if resource.owner_id != user.id:
        raise PermissionDenied("Access denied")
    return resource

If you can't determine the right enforcement mechanism, say so - but never suggest documentation as the fix.

Report Format

## Access Control Review: [Component]

### Authorization Model
[Brief description of how this codebase handles authorization]

### Findings

#### [IDOR-001] [Title] (Severity: High/Medium)
- **Location**: `path/to/file.py:123`
- **Confidence**: High - confirmed through code tracing
- **The Question**: Can User A access User B's documents?
- **Investigation**:
  1. Traced GET /api/documents/{pk}/ to DocumentViewSet
  2. Checked get_queryset() - returns Document.objects.all()
  3. Checked permission_classes - only IsAuthenticated
  4. Checked for has_object_permission() - not implemented
  5. Verified no relevant middleware or base class checks
- **Evidence**: [Code snippet showing the gap]
- **Impact**: Any authenticated user can read any document by ID
- **Suggested Fix**: [Code that enforces authorization - NOT a comment]

### Needs Manual Verification
[Issues where authorization exists but couldn't confirm effectiveness]

### Areas Not Reviewed
[Endpoints or flows not covered in this review]

---

Common Django Authorization Patterns

These are patterns you might find - not a checklist to match against.

Query Scoping

# Scoped to user
Document.objects.filter(owner=request.user)

# Scoped to organization
Document.objects.filter(organization=request.user.organization)

# Using a custom manager
Document.objects.for_user(request.user)  # Investigate what this does

Permission Enforcement

# DRF permission classes
permission_classes = [IsAuthenticated, IsOwner]

# Custom has_object_permission
def has_object_permission(self, request, view, obj):
    return obj.owner == request.user

# Django decorators
@permission_required('app.view_document')

# Manual checks
if document.owner != request.user:
    raise PermissionDenied()

Ownership Assignment

# Server-side (safe)
def perform_create(self, serializer):
    serializer.save(owner=self.request.user)

# From request (investigate)
serializer.save(**request.data)  # Does request.data include owner?

---

Investigation Checklist

Use this to guide your review, not as a pass/fail checklist:

□ I understand how authorization is typically implemented in this codebase
□ I've identified the ownership model (user, org, tenant, etc.)
□ I've mapped the key endpoints that handle user data
□ For each sensitive endpoint, I've traced the flow and asked:
  - Where does the ID come from?
  - Where is data fetched?
  - What checks exist between input and data access?
□ I've verified my findings by checking parent classes and middleware
□ I've only reported issues I've confirmed through investigation

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Related skills

How it compares

Use for traced authorization investigation on your Django codebase, not as a substitute for a generic SAST-only security plugin.

FAQ

Who is django-access-review for?

Developers building Django or DRF APIs with per-user or per-tenant data who need a structured IDOR and access-control review before ship.

When should I use django-access-review?

During Ship security review on auth-heavy PRs, while building new DRF viewsets in Build backend, and in Operate iterate after an access incident or permission model change—whenever you must verify User A cannot touch User B’s objects.

Is django-access-review safe to install?

Treat it as community-sourced procedural guidance; review the Security Audits panel on this Prism page and skim SKILL.md before letting an agent run it on proprietary code.

Securityappsecaudit

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