π HackTeam.RED: From API Keys to Full Infrastructure Compromise
Professional Penetration Testing & Red Team Operations
How a simple JavaScript reconnaissance led to complete infrastructure compromise
π― Executive Summary
HackTeam.RED successfully demonstrated a complete infrastructure compromise of andromeda.lab (The all original names has been changed for ethical reasons) environment, escalating from exposed API keys to full system access including:
- β Database dumps containing 2.7GB of sensitive data
- β AIX system snapshot with complete OS configuration
- β S3 bucket enumeration revealing internal infrastructure
- β Security database extraction with user credentials
- β Network infrastructure mapping of internal services
Total Time: 4 hours | Critical Findings: 15+ | Systems Compromised: 3
π Initial Reconnaissance: The API Key Discovery
Target Identification
Our engagement began with a web application assessment of terminal.andromeda.lab
, where modern reconnaissance techniques revealed exposed API configurations in JS-script:
// Discovered in client-side JavaScript
const keys = {
DEDATA_KEY: '31151cd87af40e5-------------------',
YM_COUNTER_KEY: '8----------',
AMPLITUDE_API_KEY: '0227beb540------------------',
AMPLITUDE_AGENT_API_KEY: 'f588db0-----------------',
CAPTCHA_CLIENT_KEY: 'ysc1_BrgRYcMK4mtVLR------------------------------------'
};
π― HackTeam.RED Methodology: API Key Analysis
Severity: π΄ HIGH - Exposed API keys in production
Our team immediately recognized the potential impact:
- Amplitude keys - User analytics and behavioral data access
- Dedata integration - Personal data enrichment service
- Yandex services - Traffic analytics and user tracking
- SmartCaptcha keys - Domain verification bypass
π Exploitation Phase 1: API Validation & Abuse
Amplitude Analytics Compromise
Finding: Dual API key architecture discovered
-
AMPLITUDE_API_KEY
- Server-side data export -
AMPLITUDE_AGENT_API_KEY
- Client-side event injection
# HackTeam.red Custom Exploitation
curl -X POST "https://api2.amplitude.com/2/httpapi" \
-H "Content-Type: application/json" \
-d '{
"api_key": "f588db0a4d77--------------------",
"events": [{
"user_id": "recon_agent",
"event_type": "session_extract"
}]
}'
# Result: {"code":200,"events_ingested":1} β
CONFIRMED ACCESS
Impact: Direct ability to inject tracking events and potentially extract user behavioral patterns.
π₯ Critical Discovery: S3 Infrastructure Exposure
SmartCaptcha Domain Enumeration
Advanced analysis revealed internal infrastructure through Yandex SmartCaptcha configuration:
https://smartcaptcha.yandexcloud.net/backend.636bb879d1085041b.html
?sitekey=ysc1_BrgRYcMK4mtVLRhi-------------------------------------
&host=terminal.andromeda.lab
π The Golden Discovery: Internal S3 Storage
Our reconnaissance revealed critical infrastructure details:
-
Domain:
buckets.cloud.venus.local
- Architecture: S3-compatible object storage
- Access Level: Public enumeration possible
π οΈ HackTeam.red Custom S3 Enumeration Framework
We deployed our proprietary S3 enumeration framework, discovering:
<ListBucketResult>
<Name>logs</Name>
<Contents>
<Key>dump.BZ</Key>
<Size>2726426112</Size>
<Owner>
<DisplayName>user1234@soc.venus.local</DisplayName>
</Owner>
</Contents>
<Contents>
<Key>snap.pax</Key>
<Size>22155776000</Size>
</Contents>
</ListBucketResult>
Severity: π΄ CRITICAL - Complete system dumps accessible
π₯ Full System Compromise: AIX Infrastructure
Database Dump Analysis (dump.BZ)
- Size: 2.7GB encrypted/compressed database dump
- Format: Custom AIX firmware-assisted dump
- Content: Complete system state including memory contents
System Snapshot Extraction (snap.pax)
- Size: 22GB complete AIX system snapshot
- Contains: Full filesystem, configurations, user data
- Extracted: 1,120 files successfully recovered
# HackTeam.RED Analysis Results
π CRITICAL SYSTEM FILES RECOVERED:
βββ π privkey.pag - Private keys database
βββ π pwdhist.pag - Password history
βββ π₯ passwd.etc - System users
βββ π hosts - Internal infrastructure map
βββ π ssh_config - SSH configurations
βββ π 9x DBM security databases
π AIX System Intelligence Gathered
System Profile:
AIX inferno-p870lp1 2 7 00CA41C74C00
Dump Date: Tue Dec 10 18:12:53 US 2024
Infrastructure: Enterprise AIX 7.2
Role: Production database server
π― Custom Tooling: Dump Analysis
HackTeam.RED developed custom Python framework for firmware-assisted dump analysis:
Advanced Memory Forensics
- Pattern Recognition: Driven string extraction
- Credential Detection: Automated password/key discovery
- Network Mapping: Infrastructure relationship analysis
- Context Analysis: Behavioral pattern recognition
π Analysis Results
Categories Analyzed:
- π Credentials: 50+ potential authentication secrets
- π― Andromeda.lab References: Direct domain and service mentions
- π Network Intelligence: Internal service mapping
- ποΈ Database Strings: Connection patterns and schemas
- π§ Email Harvesting: User account enumeration
π΄ Critical Security Findings
1. API Key Exposure - CVSS 8.5
- Impact: Data exfiltration, user tracking, service abuse
- Recommendation: Immediate key rotation and server-side validation
2. S3 Bucket Misconfiguration - CVSS 9.8
- Impact: Complete infrastructure exposure
- Recommendation: Access control implementation and audit
3. System Dump Accessibility - CVSS 10.0
- Impact: Full system compromise, credential exposure
- Recommendation: Emergency incident response required
4. Internal Infrastructure Exposure - CVSS 8.8
- Impact: Network mapping, lateral movement opportunities
- Recommendation: Network segmentation and monitoring
π‘οΈ HackTeam.RED Remediation Roadmap
Immediate Actions (0-24 hours)
- [ ] Rotate all exposed API keys
- [ ] Secure S3 bucket access controls
- [ ] Remove sensitive dumps from accessible storage
- [ ] Audit system access logs
Short-term (1-7 days)
- [ ] Implement API key server-side validation
- [ ] Deploy S3 bucket monitoring
- [ ] Conduct full credential audit
- [ ] Network segmentation assessment
Long-term (1-4 weeks)
- [ ] Security architecture review
- [ ] Penetration testing program
- [ ] Security awareness training
- [ ] Incident response plan testing
π Business Impact Assessment
Area | Risk Level | Potential Impact |
---|---|---|
Data Security | π΄ Critical | Customer PII exposure |
Compliance | π High | Regulatory violations |
Reputation | π High | Brand damage potential |
Operations | π‘ Medium | Service disruption risk |
Estimated Cost of Breach: $500K - $2M+ (based on industry standards)
π Why Choose HackTeam.RED?
π― Advanced Methodology
- Custom tool development for unique scenarios
- AI-powered analysis frameworks
- Enterprise-grade reporting and remediation
π Deep Technical Expertise
- AIX/Unix system forensics
- Cloud infrastructure security
- API security assessment
- Memory dump analysis
π Business-Focused Results
- Clear risk quantification
- Actionable remediation plans
- Compliance-ready documentation
- Executive-level reporting
π Ready to Test Your Security?
HackTeam.RED offers comprehensive penetration testing and red team services:
- β Web Application Security Assessment
- β API Security Testing
- β Cloud Infrastructure Penetration Testing
- β Social Engineering & Phishing
- β Red Team Operations
π Contact Us
Email: b0x@hackteam.red
Web: hackteam.red
π― "Security Through Offensive Excellence"
HackTeam.RED - Where Red Team Meets Real Results
![Made with β€οΈ by HackTeam.RED]
π Methodology References
- OWASP Testing Guide v4.2
- NIST Cybersecurity Framework
- SANS Penetration Testing Methodology
- MITRE ATT&CK Framework
- Custom HackTeam.red Playbooks
βοΈ Legal Disclaimer
This assessment was carried out for our customer with his written consent and in an industrial environment based on the Blackbox principle. All vulnerabilities have already been fixed by the customer, but for ethical reasons we do not disclose it, so all names have been replaced, and the real artifacts that can be used have been removed. The material is presented for educational purposes and for security research. The HackTeam.RED development conducts all tests with explicit written permission and adheres to the principles of responsible disclosure of information.
Top comments (12)
ever think about exposing some of this code to a github allow others to contrib ?
I will upload our craft tool for S3 bucket analysis to our github. The tool will contain only basic elements for verification, since it would be incorrect and contrary to ethics to specify those unique to the bucket from the case. But a skilled pentester, I'm sure, will be able to customize it for himself.
Awesome , just want to. Contrib
If there is something interesting about new orders and something to share, I will definitely post it.
github.com/copyleftdev/perforator-go
It looks decent! As soon as there is such an opportunity, we will test it on the prod.
That was great
Yes, thanks for the rating! We caught the real fun ourselves, it's always nice to find bugs on real infrastructure and not in CTF :))
good work
phanks)))
I think , its really good
phanks)))