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Apt Encounters of the Third Kind

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Why This Matters

This article highlights the importance of thorough security assessments for complex network infrastructure, especially custom-built gateways that may harbor vulnerabilities. It underscores the need for continuous testing and monitoring to protect sensitive data like PII, which is crucial for maintaining compliance and trust in the tech industry. For consumers, it emphasizes the importance of robust security measures to safeguard personal information in an increasingly interconnected world.

Key Takeaways

A few weeks ago an ordinary security assessment turned into an incident response whirlwind. It was definitely a first for me, and I was kindly granted permission to outline the events in this blog post. This investigation started scary but turned out be quite fun, and I hope reading it will be informative to you too. I'll be back to posting about my hardware research soon.

How it started

Twice a year I am hired to do security assessments for a specific client. We have been working together for several years, and I had a pretty good understanding of their network and what to look for.

This time my POC, Klaus, asked me to focus on privacy issues and GDPR compliance. However, he asked me to first look at their cluster of reverse gateways / load balancers:

I had some prior knowledge of these gateways, but decided to start by creating my own test environment first. The gateways run a custom Linux stack: basically a monolithic compiled kernel (without any modules), and a static GOlang application on top. The 100+ machines have no internal storage, but rather boot from an external USB media that has the kernel and the application. The GOlang app serves in two capacities: an init replacement and the reverse gateway software. During initialization it mounts /proc, /sys, devfs and so on, then mounts an NFS share hardcoded in the app. The NFS share contains the app's configuration, TLS certificates, blacklist data and a few more. It starts listening on 443, filters incoming communication and passes valid requests on different services in the production segment.

I set up a self contained test environment, and spent a day in black box examination. Having found nothing much I suggested we move on to looking at the production network, but Klaus insisted I continue with the gateways. Specifically he wanted to know if I could develop a methodology for testing if an attacker has gained access to the gateways and is trying to access PII (Personally Identifiable Information) from within the decrypted HTTP stream.

I couldn't SSH into the host (no SSH), so I figured we will have to add some kind of instrumentation to the GO app. Klaus still insisted I start by looking at the traffic before (red) and after the GW (green), and gave me access to a mirrored port on both sides so I could capture traffic to a standalone laptop he prepared for me and I could access through an LTE modem but was not allowed to upload data from:

The problem I faced now was how to find out what HTTPS traffic corresponded to requests with embedded PII. One possible avenue was to try and correlate the encrypted traffic with the decrypted HTTP traffic. This proved impossible using timing alone. However, unspecting the decoded traffic I noticed the GW app adds an 'X-Orig-Connection' with the four-tuple of the TLS connection! Yay!

I wrote a small python program to scan the port 80 traffic capture and create a mapping from each four-tuple TLS connection to a boolean - True for connection with PII and False for all others:

10.4.254.254,443,[Redacted],43404,376106847.319,False 10.4.254.254,443,[Redacted],52064,376106856.146,False 10.4.254.254,443,[Redacted],40946,376106856.295,False 10.4.254.254,443,[Redacted],48366,376106856.593,False 10.4.254.254,443,[Redacted],48362,376106856.623,True 10.4.254.254,443,[Redacted],45872,376106856.645,False 10.4.254.254,443,[Redacted],40124,376106856.675,False ...

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