AWS Infrastructure Compromise

A rapidly growing FinTech startup experienced every founder's worst nightmare. Threat actors dumped a "Proof of Breach" sample on a notorious dark web forum (BreachForums), exposing the highly sensitive KYC data—including PAN cards, Aadhar cards, and high-res selfies—of roughly 100,000 users.

The threat actors threatened to release the full database of 2 million users unless a massive extortion fee was paid. The company was facing immediate regulatory shutdown by the RBI, catastrophic reputational damage, and massive fines.

The startup's infrastructure was entirely cloud-native, hosted on Amazon Web Services (AWS). They had no traditional firewalls or on-premise servers. The challenge was finding out exactly *how* the data was exfiltrated from a massive, complex cloud environment with hundreds of microservices, and whether the attackers still had persistent access.

• Cloud Architecture Auditing: We immediately deployed ScoutSuite to perform an automated, multi-cloud security posture assessment. Within minutes, we flagged several critical misconfigurations in their AWS environment.
• Log Ingestion & SIEM Analysis: We ingested gigabytes of AWS CloudTrail, VPC Flow Logs, and S3 Server Access Logs into Splunk. By writing custom search queries, we hunted for anomalous data transfer spikes and unauthorized API calls.
• Identifying the Root Cause: Our SIEM analysis revealed the exact vector: an S3 bucket containing the raw KYC image uploads had been accidentally modified to 'Public-Read' via a misconfigured Terraform script during a recent CI/CD pipeline deployment. The attackers had not "hacked" the servers; they had simply used automated web scrapers to download the open bucket contents.
• Dark Web Threat Hunting: Simultaneously, Cyberen's Threat Intelligence team deployed custom Python scrapers into the TOR network. We monitored the threat actor's communications, confirming that they only possessed the 100,000 user sample and were bluffing about having the full 2 million user database.

Armed with the truth, we immediately locked down the S3 bucket permissions, enforced strict IAM Role policies, and rotated all AWS Access Keys to ensure no persistent backdoors remained.

Because we proved the attackers were bluffing about the full dataset, we advised the client to completely ignore the extortion demand. We then worked with specialized legal and international agencies to issue DMCA takedowns and disrupt the dark web hosting of the sample data.

The startup was able to transparently notify the affected 100,000 users, offering free credit monitoring. Because they could mathematically prove via our forensic report that the remaining 1.9 million users were untouched, they avoided regulatory shutdown and survived the crisis.