Apple Cache
This is a reverse engineering attempt of the Apple Content Caching system.
The goal of this project is to challenge myself in a serious reverse engineering attempt while also creating something I want to make: an Apple Content Cache that works on Linux servers.
NOTE: AssetCacheTool is a continuation of some of this work.
A Note to Apple
Dear Apple,
I am a good faith actor and due to the design of cache, I do not believe this should cause any harm. Should you consider otherwise, contact me via my email: [email protected]
Thanks, Kenneth
A Note to Users
Please do not abuse the content you see here. I am trying to do this in good faith and do not condone any malicious use of the Apple Content Cache system, whatever that may be.
Content Caching
Content Caching is available in the Sharing section of System Preferences.
It is used to cache content on your local network for public Apple content or
iCloud content. The /usr/libexec/AssetCache/AssetCache is responsible for a majority
of the work. It has an HTTP server that has an API that allows fetching and uploading of content from the server.
Research
Additionally, packet captures are provided in the captures directory.
Methodology
The work here was done by using Charles Proxy and Frida.
The tools/frida-ssl-pin.js file is a Frida script that can attach to any macOS process and disable all SSL verification and SSL certificate pinning. This has allowed me to deeply examine the requests going to Apple's servers. This script is likely useful
for many other use cases. If anyone else uses it, I'd love to hear about how it was used (I'm a super huge nerd and am quite interested in reverse engineering).
Note that SIP will need to be disabled in order to correctly use it.
I also have a modified Frida Python script which targets launchd to inject the SSL pinning and verification disable script.
Since AssetCache is spawned by launchd, you can attach Frida to launchd, and wait
spawn AssetCache via the service. The script is located at: tools/frida-ssl-pin-target.py, just do pip3 install frida frida-tools and run the script.