HashDB is a community-sourced library of hashing algorithms used in malware.

Related tags

Algorithmshashdb
Overview

overview_hashdb

AWS Deploy Chat Support

HashDB

HashDB is a community-sourced library of hashing algorithms used in malware.

How To Use HashDB

HashDB can be used as a stand alone hashing library, but it also feeds the HashDB Lookup Service run by OALabs. This service allows analysts to reverse hashes and retrieve hashed API names and string values.

Stand Alone Module

HashDB can be cloned and used in your reverse engineering scripts like any standard Python module. Some example code follows.

>>> import hashdb
>>> hashdb.list_algorithms()
['crc32']
>>> hashdb.algorithms.crc32.hash(b'test')
3632233996

HashDB Lookup Service

OALabs run a free HashDB Lookup Service that can be used to query a hash table for any hash listed in the HashDb library. Included in the hash tables are the complete set of Windows APIs as well as a many common strings used in malware. You can even add your own strings!

HashDB IDA Plugin

The HashDB lookup service has an IDA Pro plugin that can be used to automate hash lookups directly from IDA! The client can be downloaded from GitHub here.

How To Add New Hashes

HashDB relies on community support to keep our hash library current! Our goal is to have contributors spend no more than five minutes adding a new hash, from first commit, to PR. To achieve this goal we offer the following streamlined process.

  1. Make sure the hash algorithm doesn’t already exist… we know that seems silly but just double check.

  2. Create a branch with a descriptive name.

  3. Add a new Python file to the /algorithms directory with the name of your hash algorithm. Try to use the official name of the algorithm, or if it is unique, use the name of the malware that it is unique to.

  4. Use the following template to setup your new hash algorithm. All fields are mandatory and case sensitive.

    #!/usr/bin/env python
    
    DESCRIPTION = "your hash description here"
    # Type can be either 'unsigned_int' (32bit) or 'unsigned_long' (64bit)
    TYPE = 'unsigned_int'
    # Test must match the exact has of the string 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789'
    TEST_1 = hash_of_string_ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789
    
    
    def hash(data):
        # your hash code here
  5. Double check your Python style, we use Flake8 on Python 3.9. You can try the following lint commands locally from the root of the git repository.

    pip install flake8
    flake8 ./algorithms --count --exit-zero --max-complexity=15 --max-line-length=127 --statistics --show-source
    
  6. Test your code locally using our test suite. Run the folling commands locally from the root of the git repository. Note that you must run pytest as a module rather than directly or it won't pick up our test directory.

    pip install pytest
    python -m pytest
    
  7. Issue a pull request — your new algorithm will be automatically queued for testing and if successful it will be merged.

That’s it! Not only will your new hash be available in the HashDB library but a new hash table will be generated for the HashDB Lookup Service and you can start reversing hashes immediately!

Rules For New Hashes

PRs with changes outside of the /algorithms directory are not part of our automated CI and will be subjected to extra scrutiny.

All hashes must have a valid description in the DESCRIPTION field.

All hashes must have a type of either unsigned_int or unsigned_long in the TYPE field. HashDB currently only accepts unsigned 32bit or 64bit hashes.

All hashes must have the hash of the string ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789 in the TEST_1 field.

All hashes must include a function hash(data) that accepts a byte string and returns a hash of the string.

Adding Custom API Hashes

Some hash algorithms hash the module name and API separately and combine the hashes to create a single module+API hash. An example of this is the standard Metasploit ROR13 hash. These algorithms will not work with the standard wordlist and require a custom wordlist that includes both the module name and API. To handle these we allow custom algorithms that will only return a valid hash for some words.

Adding a custom API hash requires the following additional components.

  1. The TEST_1 field must be set to 4294967294 (-1).

  2. The hash algorithm must return the value 4294967294 for all invalid hashes.

  3. An additional TEST_API_DATA_1 field must be added with an example word that is valid for the algorithm.

  4. An additional TEST_API_1 field must be added with the hash of the TEST_API_DATA_1 field.

Standing On The Shoulders of Giants

A big shout out to the FLARE team for their efforts with shellcode_hashes. Many years ago this project set the bar for quick and easy malware hash reversing and it’s still an extremely useful tool. So why duplicate it?

Frankly, it’s all about the wordlist and accessibility. We have seen a dramatic shift towards using hashes for all sorts of strings in malware now, and the old method of hashing all the Windows’ DLL exports just isn’t good enough. We wanted a solution that could continuously process millions of registry keys and values, filenames, and process names. And we wanted that data available via a REST API so that we could use it our automation workflows, not just our static analysis tools. That being said, we wouldn’t exist without shellcode_hashes, so credit where credit is due 🙌


Owner
OALabs
OALabs
8-puzzle-solver with UCS, ILS, IDA* algorithm

Eight Puzzle 8-puzzle-solver with UCS, ILS, IDA* algorithm pre-usage requirements python3 python3-pip virtualenv prepare enviroment virtualenv -p pyth

Mohsen Arzani 4 Sep 22, 2021
Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm

pyruct Python Package for Reflection Ultrasound Computed Tomography (RUCT) Delay And Sum (DAS) Algorithm The imaging setup is explained in these paper

Berkan Lafci 21 Dec 12, 2022
Algorithms written in different programming languages

Data Structures and Algorithms Clean example implementations of data structures and algorithms written in different languages. List of implementations

Zoran Pandovski 1.3k Jan 03, 2023
implementation of the KNN algorithm on crab biometrics dataset for CS16

crab-knn implementation of the KNN algorithm in Python applied to biometrics data of purple rock crabs (leptograpsus variegatus) to classify the sex o

Andrew W. Chen 1 Nov 18, 2021
Algorithms implemented in Python

Python Algorithms Library Laurent Luce Description The purpose of this library is to help you with common algorithms like: A* path finding. String Mat

Laurent Luce 264 Dec 06, 2022
Using A * search algorithm and GBFS search algorithm to solve the Romanian problem

Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i

Mahdi Hassanzadeh 6 Nov 22, 2022
Tic-tac-toe with minmax algorithm.

Tic-tac-toe Tic-tac-toe game with minmax algorithm which is a research algorithm his objective is to find the best move to play by going through all t

5 Jan 27, 2022
Python-Strongest-Encrypter - Transform your text into encrypted symbols using their dictionary

How does the encrypter works? Transform your text into encrypted symbols using t

1 Jul 10, 2022
An open source algorithm and dataset for finding poop in pictures.

The shitspotter module is where I will be work on the "shitspotter" poop-detection algorithm and dataset. The primary goal of this work is to allow for the creation of a phone app that finds where yo

Jon Crall 29 Nov 29, 2022
Greedy Algorithm-Problem Solving

MAX-MIN-Hackrrank-Python-Solution Greedy Algorithm-Problem Solving You will be given a list of integers, , and a single integer . You must create an a

Mahesh Nagargoje 3 Jul 13, 2021
This application solves sudoku puzzles using a backtracking recursive algorithm

This application solves sudoku puzzles using a backtracking recursive algorithm. The user interface is coded with Pygame to allow users to easily input puzzles.

Glenda T 0 May 17, 2022
Python Client for Algorithmia Algorithms and Data API

Algorithmia Common Library (python) Python client library for accessing the Algorithmia API For API documentation, see the PythonDocs Algorithm Develo

Algorithmia 138 Oct 26, 2022
FingerPy is a algorithm to measure, analyse and monitor heart-beat using only a video of the user's finger on a mobile cellphone camera.

FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m

Thiago S. Brasil 37 Oct 21, 2022
Visualisation for sorting algorithms. Version 2.0

Visualisation for sorting algorithms v2. Upped a notch from version 1. This program provides animates simple, common and popular sorting algorithms, t

Ben Woo 7 Nov 08, 2022
Apriori - An algorithm for frequent item set mining and association rule learning over relational databases

Apriori Apriori is an algorithm for frequent item set mining and association rul

Mohammad Nazari 8 Jan 10, 2022
A fast, pure python implementation of the MuyGPs Gaussian process realization and training algorithm.

Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet

Lawrence Livermore National Laboratory 13 Dec 02, 2022
frePPLe - open source supply chain planning

frePPLe Open source supply chain planning FrePPLe is an easy-to-use and easy-to-implement open source advanced planning and scheduling tool for manufa

frePPLe 385 Jan 06, 2023
Data Model built using Logistic Regression Algorithm on Python.

Logistic-Regression Problem Statement: Your client is a retail banking institution. Term deposits are a major source of income for a bank. A term depo

Hemanth Babu Muthineni 0 Dec 25, 2021
A simple python application to visualize sorting algorithms.

Visualize sorting algorithms A simple python application to visualize sorting algorithms. Sort Algorithms Name Function Name O( ) Bubble Sort bubble_s

Duc Tran 3 Apr 01, 2022
N Queen Problem using Genetic Algorithm

The N Queen is the problem of placing N chess queens on an N×N chessboard so that no two queens attack each other.

Mahdi Hassanzadeh 2 Nov 11, 2022