AIMF Cybersecurity Case Studies
Real incidents. Real analysis. Real defense. Forensic-grade documentation of threats in the wild — from OAuth exploitation to RF counter-surveillance.
Our Analysis Methodology
PCAP Forensics
Full packet capture analysis with Wireshark and custom scripts
MITRE ATT&CK
Every technique mapped to the ATT&CK framework for standardized classification
IOC Extraction
Indicators of compromise extracted and documented for threat intelligence
Defense Recommendations
Actionable defensive measures for each attack pattern identified
Published Case Studies
Each analysis includes PCAP-verified evidence, MITRE ATT&CK mapping, and actionable defensive recommendations.
Cross-Device OAuth Exploitation
How attackers exploited OAuth token persistence across multiple devices to maintain unauthorized access to cloud accounts.
Multi-App Compromise Analysis
Coordinated attack across LinkedIn, Robinhood, and Gmail — simultaneous credential exploitation and session persistence across multiple platforms.
Router Exploitation & C2 Detection
Forensic analysis of 6.5M packets identifying C2 communication patterns, JA3 fingerprinting, and router exploitation with 90.3% confidence.
Spotify OAuth Backdoor Campaign
OAuth token persistence used to maintain unauthorized Spotify access — backdoor campaign exploiting token refresh mechanisms for long-term account control.
HomeKit Attacks: Phantom Device Injection
How a phantom device was injected into an iCloud account, triggering an 8-day rapportd DoS loop with 141,575 errors and 70x amplification.
Windsurf IDE Zero-Day: APT-28 Signature Tracing
Discovery of a zero-day buffer overflow in Windsurf IDE's language server, exploited via crafted UDP/QUIC packets with microsecond-precision timing. APT-28 attribution via MITRE ATT&CK sequence alignment.
Amazon Fire TV: Edge-Case Reports & Fleet-Wide IoT Risk
How a heap corruption vulnerability reported via HackerOne correlated with a fleet-wide firmware patch 10 weeks later — and what it means for IoT triage at scale.
⚠️ Attribution Disclaimer
Indicators and techniques documented in these case studies may suggest risk patterns, but attribution requires independent third-party assertion and is not inferred by this analysis. All reports present IOC-based observations from direct network traffic analysis. Classification of activity as malicious is based on behavioral observation, not third-party reputation services. No actor identity, geographic origin, or organizational affiliation is claimed unless explicitly stated.