details on efforts to dump the Watermelon Games Paprium cart

Overview

Reminder, if you like these repos, fork them so they don't disappear https://github.com/ArcadeHustle/WatermelonPapriumDump/fork

Big thanks to Fonzie for allowing this to be published.

  • written by hostile, with supporting information from the community at large!

Project Little Man

This project details the active efforts to dump the contents of the Watermelon Games Paprium cart.

The Paprium Press Release from 03/16/2017 brought many promises that simply never manifested into reality. At this point many people have recieved their Paprium cart, where as many others have not. Some of those that have carts in hand, happen to have broken, unusable carts. There is no replacement path, there are no support options, you simply have the pleasure of owning a brick. What can you do? Shitpost? Bellyache, and whine? Quit being a "little man", and take matters into your own hands? "Rule, Be Ruled, or Die"!

Paprium launch

The goal of this project is to empower Paprium cart owners to ensure that their investment is protected well into the future. Design flaws in the cartridge manufacturing process make it succeptible to failure. It is literally a ticking timebomb, and it will likely fail eventually.

Additional text relevant to this document can be found below:

Exemptions to Prohibition against Circumvention of Technological Measures Protecting Copyrighted Works
Seventh Triennial Section 1201 Final Rule, Effective October 28, 2018
https://library.osu.edu/document-registry/docs/1027/stream
"Video games in the form of computer programs, where outside server support has been discontinued, to allow individual play and preservation by an eligible library, archive, or museum"

https://library.osu.edu/site/copyright/2019/03/20/2018-dmca-section-1201-exemptions-announced/
"Video games in the form of computer programs, lawfully acquired as complete games 37"
"CFR §201.40(b)(12)"
"For personal, local gameplay; or To allow preservation in a playable format..."

"Computer programs protected by dongles that prevent access due to malfunction or damage and which are obsolete. A dongle shall be considered obsolete if it is no longer manufactured or if a replacement or repair is no longer reasonably available in the commercial marketplace."
https://www.copyright.gov/fedreg/2006/71fr68472.html

"The final rule allows eligible libraries, archives, and museums to circumvent technological protection measures on certain lawfully acquired computer programs (including video games) to preserve computer programs and computer program-dependent materials."
https://clinic.cyber.harvard.edu/2018/10/26/a-victory-for-software-preservation-dmca-exemption-granted-for-spn/

"Exemption to Prohibition on Circumvention of Copyright Protection Systems for Access Control Technologies"
https://www.govinfo.gov/content/pkg/FR-2018-10-26/pdf/2018-23241.pdf

Please note that the following text is considered "for purposes of good-faith security research". This write up will give you all the knowledge, and access you need to backup and preserve your Genesis MegaDrive Paprium cart as supplied by Watermelon Games. It will also serve as an academic tome on the security ramification of Voltage Glitching the STM32F4 MCU, FPGA security through obscurity, physical protection methods, and anti tamper techniques.

President Joe Biden’s latest executive order is a huge win for right to repair because it specifically calls out "unfair anticompetitive restrictions on third-party repair or self-repair of items", just like the DT128M16VA1LT concept in Paprium imposes on any end user lucky enough to acutally obtain the game. https://www.whitehouse.gov/briefing-room/presidential-actions/2021/07/09/executive-order-on-promoting-competition-in-the-american-economy/

DATENMEISTER DT128M16VA1LT

The DT128M16VA1LT is supposedly a "custom" chip made by Daten Semiconductor, that is really just a bunch of commodity parts covered in black epoxy glob top encapsulant. Never mind that it has been proven that "Datenmeister DT128M16VA1LT chipset is fake", or that the website of the company that "makes" it, was originally registered to Fonzie.

The Datenmeister serves as the central piece of technology driving the Paprium cart. The only problem is, that it does not exist, at all. In reality, it is just handful of common components.
https://twitter.com/MyLifeInGaming/status/1341092115250630656

Any Paprium ROM archival efforts would have to revolve around exploiting weaknesses in the "DT128M16VA1LT" components.

DT128M16VA1LT parts related to data storage, and game logic.

The actual technology in the ficticious "DT128M16VA1LT" from the Paprium cart is made up of known ICs that are succeptable to known weaknesses, and potential attacks. Being beneath black goop does not at all make the chips impervious to attack.

It should in practice be trivial to interface with each of the major componets. The major hurdle right now is physical access to each component, or it's pinout due to the black epoxy.

Intel® MAX 10 FPGAs

Altera 10M02SCU169C8G FPGA (UBGA169)
https://www.mouser.com/datasheet/2/612/m10_overview-2401081.pdf
https://www.intel.com/content/dam/www/programmable/us/en/pdfs/literature/an/an556.pdf

The Intel FPGA on the Paprium cart "may allow an authenticated user to potentially enable escalation of privilege and information disclosure via physical access". The vulnerability has been assigned CVE-2020-0574. Dr. Sergei Skorobogatov of the Dept of Computer Science and Technology, University of Cambridge, Cambridge, UK, has been credited with reporting this issue. His papers and persentations on the subject are linked below:
https://arxiv.org/abs/1910.05086
https://arxiv.org/pdf/1910.05086.pdf
https://www.cl.cam.ac.uk/~sps32/HWIO_MAX10.pdf

Hardware security evaluation of Intel MAX 10 FPGAs | Dr. Sergei Skorobogatov

Sergei's research outlines several weaknesses that can aid in archival of Paprium's FPGA contents:
"Verify Protect fuse only protects the configuration Flash memory (CFM) but leaves user Flash memory (UFM) fully accessible"

"Encrypted POF Only fuse on its own does not protect JTAG access to the Flash memory"

"Write access to both user Flash and configuration Flash is still possible. This can be used for modification attacks, for example, to extract the encrypted bitstream"

"AES decryption always leaves distinctive power traces clearly distinguishable for different keys and different data. In combination with Flash modification attacks this can be used for encrypted bitstream extraction."

"Semi-invasive attacks in the form of laser fault injection were found to be capable of bypassing all security protection fuses in MAX 10 devices."

All of these vulnerabilities can in theory be used to dump the FPGA that is present on the Paprium cartridge.

STM32F4

ST STM32F446ZEJ6 MCU (UFBGA144)
https://www.st.com/resource/en/datasheet/stm32f446re.pdf
https://www.st.com/resource/en/application_note/dm00493651-introduction-to-stm32-microcontrollers-security-stmicroelectronics.pdf

Similar to the Intel FPGA, the STM32F4 inside the Paprium cart is known to be vulnerable to voltage glitching attacks that should aid in archival of Paprium's data. The attacks have moved from theory, and manual one off demonstrations to now being available in ready made productized form with tools like ChipWhisperer. Various exploitation demonstrations have occured outside common lab constraints, and SDK kit based testing.

Real, actual products have been attacked at this point. The exploitation techniques are reliable:
https://lists.gnupg.org/pipermail/gnuk-users/2020-February/000243.html
https://www.synacktiv.com/sites/default/files/2020-11/presentation.pdf
https://tches.iacr.org/index.php/TCHES/article/download/7390/6562/
https://blog.kraken.com/post/3662/kraken-identifies-critical-flaw-in-trezor-hardware-wallets/

TheHpman appears to have done some basic reversing of the Paprium cart, but did not fully disclose which chips he worked with. The logic used by the STM32 is explictly mentioned on his Twitter account:
https://twitter.com/The_Hpman/status/1383191393393389570
https://twitter.com/The_Hpman/status/1383191380743356416

Commerical RE company BreakIC aka Mikatech will dump the STM32 for a fee of $6500 USD, claiming that "The tools needed to read it costs USD2million". We have reliably used Mikatech in the past for less costly extractions, we originally found them because their marketing claims that they are "World first mcu cloning company". Worst case scenario, we could in theory pay to have the Paprium STM32 chip dumped via their expensive machine.

Alternatively practicing on STM32F4 dev boards using a standard ChipWhisperer setup should set the stage for dumping the Paprium STM32F4 using standard community accessible tools.

Similarly starting with the standard STM43F4 "UFO" target board is a great way to practice before moving on attempting to attack the Paprium cart.

MirrorBit Flash

Spansion GL064N Series Flash (BGA48)
https://www.cypress.com/file/202426/download

Reading the Spansion flash should be possible with a standard Universal Programmer, and the appropriate adapter. https://www.aliexpress.com/item/32820731419.html
https://www.aliexpress.com/item/32978614065.html

You can see from the chip routing that the Flash is gatekept by the FPGA.

i2c EEPROM

24C64WP EEprom (SO8)
https://www.st.com/resource/en/datasheet/m24c64-f.pdf

Similarly reading the i2c EEPROM should be possible with standard EEPROM readers, or even an Arduino. It is sitting outside the black epoxy, making it easy to examine.

Useful tools

The standard tool for voltage glitching is the Chip Whisperer, STM32 is a default target in the "level 1" kit, so this seems like a natural fit for anyone wanting to play along:
https://store.newae.com/side-channel-glitching-starter-pack-level-1/
https://www.mouser.com/new/newae-technology/newae-chipwhisperer-lite-l1-kit/

Before the ChipWisperer came along you often saw FeelTech FY3200S used in academic papers about voltage glitching STM32 MCUs. This device contains a USB API that can be used to script voltage changes. A Python API makes scripting easy.

Cart Specific detail

The Paprium cart is a special unicorn. If you don't pay attention, you may perhaps miss some notable "features".

Megawire 4.0 (MW4.0)

Described in the manual as being used to "Connect to PAPRIUM's NXT network and enable the game's online services". It can also be used because "Some game updates may be available for download. Nobody's perfect...", or for DLC that "can be purchased with GEMS".

"Megawire 4.0 is a special connector that has 4 segments to it. There are 2 segments for data transfer & 2 for are for power & ground." https://warosu.org/vr/thread/7319474

Exposed vias on rear of cart

Vias on the cart expose the BGA ball array from the STM32F4, making the epoxy less effective at protecting it.

This allows for access to SWD lines from outisde of the black epoxy obfuscation blob.

Debug headers?

There is a 9 pin header at the top of the cart labeled "DT", there is also an 8 pin header just below the STM32 above the cart connector. The functionality is not known for either connector at this time.



References

These are random related backstory items that make for good reading, or listening.

Grandious Ideas

https://web.archive.org/web/20190226071931/http://www.magicalgamefactory.com/en/blogs/wm-blog_1/

Failure to deliver

https://www.facebook.com/110283612372658/posts/2326873840713613/

Need for Change!

https://www.change.org/p/paypal-paypal-usa-please-transfer-the-money-to-watermelon-for-releasing-the-game-paprium

Drama

https://twitter.com/St1ka/status/1364024924873097216

An amazing Paprium troll, ahead of their time

https://papriumfiasco.wordpress.com/tag/datenmeister/

Little men

Fonzie ranting on Twitter calling everyone "little man", and complaining about PayPal. https://twitter.com/watermelongames/status/1365356392022966278
https://twitter.com/watermelongames/status/1428150734361661440
https://twitter.com/watermelongames/status/1366710552005906439
https://twitter.com/watermelongames/status/1428156649823424512
https://twitter.com/watermelongames/status/1428157032549556225
https://twitter.com/watermelongames/status/1428159286388133892
https://twitter.com/watermelongames/status/1428162198078164997
https://twitter.com/watermelongames/status/1428164359923118086

Youtube Interviews & Documentaries

PAPRIUM megadrive / genesis longplay part 1 PAPRIUM megadrive / genesis longplay part 2 PAPRIUM megadrive / genesis part 3 - instruction manual & manga investors Paprium Update: Fonzie FINALLY Breaks His Silence What Happened to Paprium? A Documentary - St1ka's Retro Corner What Happened to Paprium? A Documentary (Part 2) - St1ka's Retro Corner What Happened to Paprium? A Documentary (Part 3) - St1ka's Retro Corner Analyse de l'interview de Fonzie Scene World Podcast Episode #109 - Watermelon Games' CEO Gwénaël Godde aka Fonzie PAPRIUM - THE FONZIE INTERVIEW (English Subtitles) L'entrevue la plus puissante avec Gwénaël "fonzie" Godde PDG de Watermelon Partie 1 Entrevue avec "Fonzie", PDG de Watermelon #teaser Entrevue avec fonzie, suite et fin. Paprium's Creator: An Interview | St1ka's Retro Corner Paprium Documentary - Complete Series | Movie Length Documentary | St1ka's Retro Corner The Paprium SCANDAL

Fun Quotes

https://www.youtube.com/watch?v=Nj2LM1rvFQ8&t=4550s
st1ka: "A ROM dump will always happen, I believe Paprium has already Been dumped, if I'm not mistaken"
Fonzie: "no no no no no no no no no no I don't think so I don't think so, I don't encourage anyone to dump anything"
...
"What about the customer"
"These guys are lucky we don't have very strong lawyers"

https://www.youtube.com/watch?v=Nj2LM1rvFQ8&t=5530s
st1ka: "the fpga is primarily used as a copy protection"
Fonzie: "... what ever is said is just some ideas, it is true it serves in some way as copy protection"
"It has a memory interface"
"the game is going realtime decompression, and this decompression algorithem is inside the one IC"

https://www.youtube.com/watch?v=Nj2LM1rvFQ8&t=5650s
Fonzie: "I chose component from the market, because I can not make my own IC".
"I chose the IC from the market that fits the requirements, of course becuase it is not custom".

https://youtu.be/lxByzNzWTlI?t=1300
Fonzie: "The final state of testing we modified something on the game, but we could not test again"
"We have to trust everybody to not put the cartridge on eBay. the problem is it was very big risk"
"for sure someone with alot of money will try to take the cartridge and dump it"

Owner
Hustle Arcade
Just my arcade side hustle...
Hustle Arcade
A complete, self-contained example for training ImageNet at state-of-the-art speed with FFCV

ffcv ImageNet Training A minimal, single-file PyTorch ImageNet training script designed for hackability. Run train_imagenet.py to get... ...high accur

FFCV 92 Dec 31, 2022
Fast Style Transfer in TensorFlow

Fast Style Transfer in TensorFlow Add styles from famous paintings to any photo in a fraction of a second! You can even style videos! It takes 100ms o

Jefferson 5 Oct 24, 2021
meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)

meProp The codes were used for the paper meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (ICML 2017) [pdf]

LancoPKU 107 Nov 18, 2022
PyTorch framework, for reproducing experiments from the paper Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks. Code, based on the PyTorch framework, for reprodu

Asaf 3 Dec 27, 2022
A Deep Reinforcement Learning Framework for Stock Market Trading

DQN-Trading This is a framework based on deep reinforcement learning for stock market trading. This project is the implementation code for the two pap

61 Jan 01, 2023
[IJCAI'21] Deep Automatic Natural Image Matting

Deep Automatic Natural Image Matting [IJCAI-21] This is the official repository of the paper Deep Automatic Natural Image Matting. Introduction | Netw

Jizhizi_Li 316 Jan 06, 2023
[CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

TransFuser This repository contains the code for the CVPR 2021 paper Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. If you find our

695 Jan 05, 2023
LBK 35 Dec 26, 2022
TCPNet - Temporal-attentive-Covariance-Pooling-Networks-for-Video-Recognition

Temporal-attentive-Covariance-Pooling-Networks-for-Video-Recognition This is an implementation of TCPNet. Introduction For video recognition task, a g

Zilin Gao 21 Dec 08, 2022
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

What is DeepHyper? DeepHyper is a software package that uses learning, optimization, and parallel computing to automate the design and development of

DeepHyper Team 214 Jan 08, 2023
traiNNer is an open source image and video restoration (super-resolution, denoising, deblurring and others) and image to image translation toolbox based on PyTorch.

traiNNer traiNNer is an open source image and video restoration (super-resolution, denoising, deblurring and others) and image to image translation to

202 Jan 04, 2023
A Simple and Versatile Framework for Object Detection and Instance Recognition

SimpleDet - A Simple and Versatile Framework for Object Detection and Instance Recognition Major Features FP16 training for memory saving and up to 2.

TuSimple 3k Dec 12, 2022
The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".

Targeted Neural Dynamical Modeling Note: This is a re-implementation (in Tensorflow2) of the original TNDM model. We do not plan to further update the

6 Oct 05, 2022
An implementation of the Contrast Predictive Coding (CPC) method to train audio features in an unsupervised fashion.

CPC_audio This code implements the Contrast Predictive Coding algorithm on audio data, as described in the paper Unsupervised Pretraining Transfers we

Meta Research 283 Dec 30, 2022
Breaching - Breaching privacy in federated learning scenarios for vision and text

Breaching - A Framework for Attacks against Privacy in Federated Learning This P

Jonas Geiping 139 Jan 03, 2023
Simulation of Self Driving Car

In this repository, the code to use Udacity's self driving car simulator as a testbed for training an autonomous car are provided.

Shyam Das Shrestha 1 Nov 21, 2021
Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

An official implementation of paper Data-Uncertainty Guided Multi-Phase Learning for Semi-supervised Object Detection

11 Nov 23, 2022
E-RAFT: Dense Optical Flow from Event Cameras

E-RAFT: Dense Optical Flow from Event Cameras This is the code for the paper E-RAFT: Dense Optical Flow from Event Cameras by Mathias Gehrig, Mario Mi

Robotics and Perception Group 71 Dec 12, 2022
Prediction of MBA refinance Index (Mortgage prepayment)

Prediction of MBA refinance Index (Mortgage prepayment) Deep Neural Network based Model The ability to predict mortgage prepayment is of critical use

Ruchil Barya 1 Jan 16, 2022
Tutorials and implementations for "Self-normalizing networks"

Self-Normalizing Networks Tutorials and implementations for "Self-normalizing networks"(SNNs) as suggested by Klambauer et al. (arXiv pre-print). Vers

Institute of Bioinformatics, Johannes Kepler University Linz 1.6k Jan 07, 2023