Reversing Factorio's RNG

(gegell.github.io)

80 points | by jheitmann 4 days ago

7 comments

  • PennRobotics 37 minutes ago
    Stardew Valley has two random number seeds. One is the normal character seed. The other, your multiplayer ID, can be determined by analyzing the save file.

    Except! On the Switch, you can't easily access the save file AND the random number generator is different than on PC. There is a seed cracker that looks at your traveling cart listing and calculates the character seed. Maybe because it's less important and harder to observe, I haven't found any tool to crack the other seed and don't have time to attempt writing it myself.

    By inspecting cracked geode contents, you should be able to isolate your multiplayer ID and then predict random events on Nintendo just as PC players have done for the last decade with access to the save file.

    The C# code for the game is online and the Switch RNG is known, so you never have to work in the dark. It's three steps: ensure your Switch RNG implementation works by testing against the normal seed, ensure your geode RNG implementation works by testing against the PC RNG, and then apply the Switch RNG to the geode function enough times that only one seed could create your observed sequence.

    -----

    Two semi-related open questions: Are you able to solve as quickly while starting at ANY geode as you'd be solving from the first geode? Does the RNG eventually repeat, so it actually doesn't matter what your multiplayer ID is as long as you observe a unique sequence, since there will only be one continuation of that sequence?

  • Aardwolf 11 minutes ago
    > We chose taus88 mainly because it is the fastest from boost’s generators.

    That's an RNG from 1996. It seems neither recent C++ standards, nor boost, know anything about the modern PRNGs that are much faster yet better at passing test suites

    EDIT: Ok the above quote was from 2014, and boost seems to know some now! https://www.boost.org/doc/libs/latest/doc/html/boost_random/...

  • vlyan 19 minutes ago
    by far the blackest magic I ever saw for that game.

    I'm an upper intermediate at Factorio, resorting to someone else's blueprints only for belt balancers and rail intersections, and I can't even begin to figure out how it's done.

  • strstr 1 hour ago
    I did an easier version of this in my college intro class. There was a class competition that involved rock paper scissors as a subcomponent, and ties were broken with randomness. You could rig Java’s prng so you would win all ties.

    The prng was seeded with usec time at first call. I called the rng a bunch of times to harvest entropy, and scanned the plausible usec times to find the seed. Then I primed the prng so I would win ties.

    Frankly, I assume I implemented this wrong, but the theory was there lol.

    • rogueaine 1 hour ago
      That’s not at all what the article proposed. The author constructed and transpose to the linear shift register coefficients and built a circuit network based on this to predict the next state (in the sandbox) and direct recipes.
      • strstr 55 minutes ago
        From the article:

        > Sampling the current RNG through observations,

        > Computing the current internal RNG state,

        > Predicting the future internal states,

        > Calculating corresponding quality levels for each future call, and finally

        > Making use of the predicted levels with some adapters.

        The entropy->seeds (internal RNG state) step took more math of course. Frankly, I wouldn’t be surprised if they could have extracted the seeds without the math with a bit of RE and memory inspection.

        The version I did wasn’t predicting quality of course, it was predicting tie breakers

  • pema99 3 days ago
    Super cool
    • jvanderbot 2 hours ago
      Yeah, no notes. It's remarkable.

      TL;DR: Wired up an in-game predictor of RNG output and used it to only craft legendary items when RNG would line up to roll legendary.

      From base to legendary at a suprisingly high rate. Look very closely at the video at the top of the post - what I was seeing didn't sink in until I had finished the article. Amazing.

  • myhf 47 minutes ago
    Impressive work!
  • lowbloodsugar 1 hour ago
    Madman. Brilliant.