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Github Remote Command Execution

🗓️ 24 Feb 2014 00:00:00Reported by joernchenType 
packetstorm
 packetstorm
🔗 packetstormsecurity.com👁 19 Views

Github Remote Command Executio

Code
`GitHub RCE by Environment variable injection Bug Bounty writeup  
  
Disclaimer: I'll keep this really short but I hope you'll get the key points.  
  
GitHub blogged a while ago about some internal tool called gerve:  
https://github.com/blog/530-how-we-made-github-fast  
  
Upon git+sshing to github.com gerve basically looks up your permission  
on the repo you want to interact with. Then it bounces you further in  
another forced SSH session to the back end where the repo actually is.  
  
At some point I figured that it is possible to inject some environment  
variables into gerve/the forked SSH process by setting my username to  
something like "joerchen\n\nLD_ASSUME_KERNEL=1\n\n".  
  
LD_ASSUME_KERNEL=1 will prevent the actual command from being run, just  
like this:  
  
---  
joernchen ~ $ LD_ASSUME_KERNEL=1 uname -a  
uname: error while loading shared libraries: libc.so.6: cannot open shared object file: No such file or directory  
---  
  
For the details on this, check man 8 ld.so.  
  
So far so good, how can we use this fact to make SSH execute arbitrary  
commands?  
  
The technique I came up with used both features of ld.so and SSH itself:  
  
LD_PRELOAD=/path/to/libfakeroot.so  
SSH_ASKPASS=/usr/bin/ex  
DISPLAY=:1  
  
How and why did this work?  
  
1.) libfakeroot makes SSH think it's root (we can inject this via  
LD_PRELOAD because the ssh binary is not setuid)  
2.) ssh tries to read /root/.ssh/known_hosts  
3.) ssh fails reading 'cause it's actually running as the git user  
4.) ssh connects to $backend and wants to ask the user if  
$backend_hostkey is OK.  
5.) ssh has no terminal and DISPLAY is set  
6.) ssh invokes the command specified in SSH_ASKPASS  
  
From being dropped in /usr/bin/ex we could just say:  
!/bin/sh  
and be happy with having a shell as [email protected]  
  
`

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24 Feb 2014 00:00Current
0.1Low risk
Vulners AI Score0.1
19