️ Deloitte Virtual Internship Cyber Sim Victory
参与德勤澳大利亚网络安全虚拟实习模拟,通过蓝队日志分析发现内部威胁。通过审查web_requests.log文件,识别出异常用户行为模式,确认为内部数据抓取活动,排除外部攻击可能性。 2025-6-9 06:11:24 Author: infosecwriteups.com(查看原文) 阅读量:8 收藏

Cracked Deloitte’s Cyber Simulation by exposing a stealthy insider through Blue Team log forensics — SOC-mode: Activated.

Aditya Bhatt

In the ever-evolving battleground of cybersecurity, every challenge is an opportunity to sharpen your blade. Recently, I took on the Deloitte Australia Cyber Security Virtual Internship Sim hosted by Forage and what followed was a practical Blue Team drill that blended analytical thinking, threat detection and digital defense.

Deloitte Virtual Intern Sim

When you hear Deloitte, you might think of suits, spreadsheets, and boardroom strategy — but beneath that corporate polish lies a formidable force in cyber defense.

Deloitte is one of the “Big Four” firms — not just a consulting empire, but also a global powerhouse in cybersecurity services. Their cyber teams protect Fortune 500 clients, critical infrastructure, and nation-level systems with layered defense models, including advanced Security Operations Centers (SOCs), Incident Response, and Threat Hunting services.

So when they drop a simulation like this? It’s not a gimmick. It’s a blue team boot camp — and I went in ready to flex.🗿

In this simulation, I joined Deloitte’s virtual cyber team to respond to a high-severity breach involving Daikibo Industrials, a major manufacturing client whose internal telemetry dashboard had leaked sensitive operational data.

Their status board, a key internal asset, was hosted inside a VPN-protected intranet. Yet sensitive data found its way out. My mission?

  1. Determine if an external attacker (internet-based) could’ve breached the dashboard.
  2. Inspect the web activity logs to identify malicious or suspicious behavior.

What followed was a deep dive into digital forensics.

Unlike red teaming, where you’re the attacker, blue teaming is all about defense — detecting threats, mitigating them, and preserving the integrity of systems. In this case, I stepped into the shoes of a SOC analyst: scouring logs, recognizing behavioral patterns, and isolating the threat vector before the damage escalates.

Think of it as a tactical blend of:

  • 🕵️‍♂️ Log analysis
  • 🔐 Authentication flow review
  • 🧮 Anomaly detection
  • 🚫 Access control verification

The key? Pattern recognition — and I was on it.

The core of this simulation lay in the web_requests.log file — a massive chunk of HTTP activity segmented by static internal IPs. The format captured everything from login attempts to API requests, mapped against timestamps and status codes.

I booted it into my code editor, scanned through suspicious time series, and began drawing my battle lines.

After inspecting several user sessions, one stood out:

Screenshot 1

User ID: dBCm2JjBU815PB8zPDvKqv

💡 Here’s What Gave It Away:

  • ✅ Logged in like everyone else. Nothing unusual at first.
Screenshot 2
  • 🤔 Then, a sequence of automated API requests began — hitting all factory endpoints.
  • ⏱️ The pattern? Punctual. Every hour. On the dot. No frontend elements were requested — no styles, no scripts, no human browsing indicators.
Screenshot 3
  • 🤖 This was no human. This was scripted access — silent, persistent, and efficient.

A textbook case of either:

  • A compromised credential being used in a scheduled script
  • Or an insider threat automating unauthorized data exfiltration

My conclusion? This user was scraping internal operational data without oversight.

❓Q1: Can an attacker reach the dashboard directly from the internet?

🟢 Answer: No. The dashboard lives behind a VPN-only internal intranet. No direct access from external IPs — unless someone on the inside lets you in.

🟢 Answer: dBCm2JjBU815PB8zPDvKqv The only user displaying machine-like querying frequency, accessing factory endpoints without UI resource calls.

This was more than checkbox training. It challenged me to think like a SOC analyst responding to a real incident:

  • 🛡️ Blue Team Threat Hunting: Identifying TTPs (Tactics, Techniques, Procedures) of threat actors
  • 📊 Behavioral Analysis: Detecting human vs. non-human patterns
  • 🔍 SIEM-style Log Analysis: Manual inspection of web request logs and timestamps
  • 🔐 Authentication & Access Flow Understanding: Mapping legitimate vs. suspicious logins

All self-paced, but brutally real in execution.

After completing the challenge, I received a certificate and recognition for my cyber instincts — a solid addition to my profile and a true testament to blue team readiness.

This simulation gave me a taste of Deloitte’s real-world expectations — and I left with more than a certificate. I left with sharpened instincts, deeper insights, and a stronger resolve to defend digital systems like a stone wall.🧱🗿

This wasn’t just a task — it was a cyber puzzle with business impact. I didn’t just click through it; I dissected it. I played the defender, the analyst, the firewall, and the log inspector — all rolled into one.

If you’re serious about cybersecurity, blue teaming, or working in SOC environments, challenges like these are invaluable.

So here’s to cracking one more simulation — and preparing for the real world ahead. 🔥

Let’s get back to the logs, Bub. The hunt never ends. 🧠🛡️

📄 Add it to the Resume.
📌 Pin it to LinkedIn.
🗿 Carry the stone-cold energy forward.


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