DripLoader
donut
| DripLoader | donut | |
|---|---|---|
| 6 | 19 | |
| 666 | 5,312 | |
| - | 2.0% | |
| 1.8 | 3.6 | |
| over 2 years ago | 6 months ago | |
| C++ | Python | |
| MIT License | MIT License |
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DripLoader
- Bypassing EDR real-time injection detection logic
- Does anyone know any good x64 shellcode loaders?
- DripLoader: Evasive shellcode loader for bypassing event-based injection detection
- DripLoader - Evasive shellcode loader for bypassing event-based injection detection
- DripLoader: Evasive shellcode loader for bypassing event-based injection detection, without necessarily suppressing event collection - aiming to highlight limitations of event-driven injection identification, and show the need for more advanced memory scanning/smarter local agent inventories in EDR
donut
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Ask HN: Why are all OCR outputs so raw?
maybe this is better? https://github.com/clovaai/donut
I'm not sure
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Show HN: BetterOCR combines and corrects multiple OCR engines with an LLM
Yup! But I'm still exploring options. (any recommendations would be welcomed!) Here are some candidates I'm considering:
- https://github.com/mindee/doctr
- https://github.com/open-mmlab/mmocr
- https://github.com/PaddlePaddle/PaddleOCR (honestly I don't know Mandarin so I'm a bit stuck)
- https://github.com/clovaai/donut - While it's primarily an "OCR-free document understanding transformer," I think it's worth experimenting with. Think I can sort this out by letting the LLM reason through it multiple times (although this will impact performance)
- yesterday got a suggestion to consider https://github.com/kakaobrain/pororo - I don't think development is still active but the results are pretty great on Korean text
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New to ML, looking for some GPU and learning material info
I am also interested in experimenting with something like DONUT (https://github.com/clovaai/donut) but I have never seen anything on what the VRAM expectations are for something like this. Does anyone know also if there are any newer better models than this for document parsing as well? Or what the VRAM requirements for something like this tend to be?
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[D] Is there a good ai model for image-to-text where the images are diagrams and screenshots of interfaces?
Here are a few useful resources you could start with: [Pix2Struct by Google Research](https://github.com/google-research/pix2struct) might be a valuable tool, although it will most likely need some fine-tuning to fit your specifics. You can also find some fine-tuned models on HuggingFace by searching 'pix2struct'. Another option worth considering is [DonutI](https://github.com/clovaai/donut). Like Pix2Struct, fine-tuning likely needed to meet your requirements. Tesseract OCR is another alternative, particularly for handling text. It's primarily designed for pages of text, think books, but with some tweaking and specific flags, it can process tables as well as text chunks in regions of a screenshot. Bit too much tweaking for my taste. As I'm also in search of OCR tools for UI and chart screenshots, so share if you find something else.
- How to Automate Document Extraction from Insurance Documents
- FLaNK Stack Weekly 29 may 2023
- Donut: OCR-Free Document Understanding Transformer
What are some alternatives?
MicroBackdoor - Small and convenient C2 tool for Windows targets. [ Русский -- значит нахуй! ]
PaddleOCR - Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
donut - Generates x86, x64, or AMD64+x86 position-independent shellcode that loads .NET Assemblies, PE files, and other Windows payloads from memory and runs them with parameters
image-to-sound-python- - A python project for converting an Image into audible sound using OCR and speech synthesis
pe_to_shellcode - Converts PE into a shellcode
qlora - QLoRA: Efficient Finetuning of Quantized LLMs
TelemetrySourcerer - Enumerate and disable common sources of telemetry used by AV/EDR.
CascadeTabNet - This repository contains the code and implementation details of the CascadeTabNet paper "CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents"
CSharpReflectionWorkshop - The repository that complements the From zero to hero: creating a reflective loader in C# workshop
Multi-Type-TD-TSR - Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition:
Create-Thread-Shellcode-Fetcher - This POC gives you the possibility to compile a .exe to completely avoid statically detection by AV/EPP/EDR of your C2-shellcode and download and execute your C2-shellcode which is hosted on your (C2)-webserver.
deepdoctection - A Repo For Document AI