The problem MaHa ( Malware Hashing) solves

Malware Detection and Identification: The project enables the detection and identification of malware by utilizing hashing algorithms to generate unique identifiers for known malicious files.

Real-time Monitoring: The system continuously analyzes network traffic and system behavior in real-time. This allows for the immediate detection and response to potential malware threats.

Decentralized and Tamper-proof Data Storage: By integrating blockchain technology, the project ensures that malware hash data is stored in a decentralized and tamper-proof manner. This provides a high level of security and integrity for the stored information.

Smart Contracts for Automation (if applicable): Smart contracts may be used to automate certain interactions with the blockchain, providing an additional layer of security and efficiency.

Machine Learning (Optional): If implemented, machine learning models can enhance malware detection by recognizing patterns indicative of malicious behavior.

User Interface: The project includes a user interface that allows users to upload files for analysis and view the results of the analysis process.

Data Privacy and Encryption: Sensitive data is handled with care, and encryption techniques are employed to ensure the confidentiality of information.

Handling of Sensitive Information: Sensitive information such as private keys and user credentials are stored securely using a key management system.

Challenges we ran into

Linux Sandbox Setup: Configuring a secure Linux sandbox environment for testing malware involves setting up isolated environments, managing permissions, and implementing robust security measures to prevent any potential harm to the host system.

Malware Testing Environment: Designing a controlled environment for malware testing requires creating a closed network, setting up monitoring tools, and implementing containment measures to prevent the malware from spreading.

Hashing Algorithm Selection: Choosing a suitable hashing algorithm for generating malware hashes is crucial. Consider factors like collision resistance and performance in the context of your specific use case.

File Integrity Verification: Implementing mechanisms to ensure the integrity of files before and after testing is important. This may involve cryptographic techniques like digital signatures or checksums.

Blockchain Integration: Connecting your Linux sandbox to the Polygon blockchain involves setting up appropriate APIs or nodes for interaction. Ensure secure communication channels and consider the gas costs associated with transactions.

Smart Contract Development: Designing and deploying smart contracts on the Polygon blockchain that handle the storage and retrieval of malware hashes. Ensure security best practices are followed during development.

Access Control and Permissions: Implementing access control mechanisms within the Linux sandbox and the blockchain platform to ensure that only authorized entities can interact with the system.

Event Logging and Monitoring: Setting up event logging and monitoring tools to track interactions, detect anomalies, and respond to any suspicious activity within the sandbox or on the blockchain.