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'123456' password exposed chats for 64M McDonald's job applicants

(www.bleepingcomputer.com)
114 points nan60 | 1 comments | 11 Jul 25 21:48 UTC | HN request time: 0s | source
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bsuvc ◴[11 Jul 25 22:54 UTC] No.44537604[source]▶
It sounds like there were two separate problems:

The first was that 123456 was the credentials for the admin panel.

The second was an insecure direct object reference, where the lead_id querystring parameter can be changed on an API call to retrieve another applicant's data.

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hardwaresofton ◴[11 Jul 25 23:48 UTC] No.44537968[source]▶
A third problem that senior engineers might recognize: using numeric IDs on an outward facing object. UUIDs would have made this impossible as well
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bsuvc ◴[12 Jul 25 00:00 UTC] No.44538043[source]▶
Not impossible, just more difficult to guess.

"Security through obscurity" isn't really good enough.

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tyre ◴[12 Jul 25 00:03 UTC] No.44538058[source]▶
Yes and…

UUIDs aren’t “just more difficult to guess.” They are inconceivably harder to guess.

> Put another way, one would need to generate 1 billion v4 UUIDs per second for 85 years to have a 50% chance of a single collision.

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zarzavat ◴[12 Jul 25 00:49 UTC] No.44538313[source]▶
You are both right. UUIDs, if randomly generated from a CSPRNG are impossible to guess. But not all UUIDs are generated from a secure RNG, or use randomness at all.
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xeromal ◴[12 Jul 25 01:14 UTC] No.44538446[source]▶
I may be a dingleberry but who doesn't use uuidv4 for everything?
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cobbal ◴[12 Jul 25 01:59 UTC] No.44538661[source]▶
UUIDv4 may or may not use a cryptographically secure random number generator. Python's UUID library, for example, falls back to the insecure 'random' module. Given a handful of outputs, it's possible to predict future ones.
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1. shakna ◴[12 Jul 25 04:07 UTC] No.44539217[source]▶
Uh... Come again?

    def uuid4():
        """Generate a random UUID."""
        return UUID(bytes=os.urandom(16), version=4)
https://github.com/python/cpython/blob/3.13/Lib/uuid.py
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