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Binanalysis

Binanalysis scans binary files for vulnerabilities using AI, historical data, and rule-based checks.
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Binanalysis

What is Binanalysis?

Binanalysis is an AI-powered binary vulnerability scanner that analyzes binary files for vulnerabilities by decompiling the executable, removing filler content, formatting the code, and checking against historical vulnerabilities. It generates function-wise embeddings using a finetuned CodeT5+ Embedding model trained on specific datasets like Big Clone Bench and CodeSearchNet. The tool also checks for vulnerabilities using the DiverseVul dataset and leverages SemGrep, a rule-based tool, for further vulnerability checks. Overall, it provides users with an efficient method to assess the security of binary files using AI algorithms and a vast vulnerability database.

Who created Binanalysis?

Binanalysis was created by an unidentified individual or entity. The tool was launched on November 16, 2023. It is an AI-powered binary vulnerability scanner that allows users to upload binary files for analysis against a database of over 20,000 historical vulnerabilities. The tool follows a structured process, including decompiling the executable using Ghidra, employing a finetuned CodeT5+Embedding model, and conducting vulnerability checks using tools like SemGrep. Overall, Binanalysis offers a comprehensive approach to identifying vulnerabilities in binary files, making it a valuable resource for assessing the security of binaries.

What is Binanalysis used for?

  • Detect vulnerabilities in binary files
  • Upload a binary file for analysis
  • Perform decompilation using Ghidra
  • Check against more than 20,000 historical vulnerabilities
  • Generate function-wise embeddings for code
  • Check for similarities against the DiverseVul Dataset
  • Utilize SemGrep for vulnerability checks
  • Comprehensive approach to binary file vulnerability analysis
  • Efficient and reliable method for security assessment
  • Utilizes AI algorithms for vulnerability detection
  • Perform AI-powered binary vulnerability scanning
  • Utilize over 20,000 historical vulnerabilities database for analysis
  • Decompile executables using Ghidra
  • Generate function-wise embeddings with CodeT5+ model
  • Check similarities against DiverseVul dataset
  • Leverage SemGrep for vulnerability checks
  • Assess security of binaries efficiently
  • Provide comprehensive approach to vulnerability detection
  • Offer reliable method for security assessment

Who is Binanalysis for?

  • Software developers
  • Security professionals
  • Reverse engineers
  • Cybersecurity Analysts
  • Security Researchers

How to use Binanalysis?

To use the Binary Vulnerability Analysis tool (Binanalysis), follow these steps:

  1. Upload a binary file to the tool.
  2. The tool will decompile the binary using Ghidra and clean the code by removing filler content, formatting, and determining symbols and inline function calls.
  3. Generate function-wise embeddings using a finetuned CodeT5+Embedding model trained on Big Clone Bench and CodeSearchNet datasets.
  4. Check for similarities against the DiverseVul dataset to identify known vulnerabilities.
  5. Utilize SemGrep, a tool with rule-based vulnerability checks, for further analysis.
  6. The tool provides a comprehensive vulnerability report based on its analysis against a database of over 20,000 historical vulnerabilities.

By following these steps, users can leverage the AI-powered capabilities of Binanalysis to efficiently and effectively detect vulnerabilities in binary files, enhancing the security assessment of their software..

Binanalysis FAQs

What is Binanalysis?
Binanalysis is an AI-powered binary vulnerability scanner that analyzes uploaded binary files against a historical vulnerabilities database.
How long does the analysis process take?
The analysis process may take a few minutes depending on the size of the file, up to a maximum of 10 minutes.
What steps does Binanalysis follow for analysis?
Binanalysis decompiles the executable file, removes filler content, generates embeddings using a CodeT5+ model, checks for similarities against the DiverseVul dataset, and utilizes SemGrep for vulnerability checks.
What is the benefit of using Binanalysis?
Binanalysis provides a comprehensive approach to identify vulnerabilities in binary files by leveraging AI algorithms and a vast database of vulnerabilities for efficient and reliable security assessment.
How many historical vulnerabilities does Binanalysis check against?
Binanalysis checks uploaded binary files against a database of more than 20,000 historical vulnerabilities.
What datasets are used to train the CodeT5+ Embedding model in Binanalysis?
The CodeT5+ Embedding model in Binanalysis is finetuned on the Big Clone Bench and CodeSearchNet datasets for better understanding and representation of the code.

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