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Merge remote-tracking branch 'origin/BluetoothDetails' into BluetoothDetails
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.github/workflows/codeql.yml

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# Initializes the CodeQL tools for scanning.
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- name: Initialize CodeQL
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uses: github/codeql-action/init@babb554ede22fd5605947329c4d04d8e7a0b8155 # v3.27.7
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uses: github/codeql-action/init@df409f7d9260372bd5f19e5b04e83cb3c43714ae # v3.27.9
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with:
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languages: ${{ matrix.language }}
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# If you wish to specify custom queries, you can do so here or in a config file.
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# Autobuild attempts to build any compiled languages (C/C++, C#, or Java).
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# If this step fails, then you should remove it and run the build manually (see below)
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- name: Autobuild
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uses: github/codeql-action/autobuild@babb554ede22fd5605947329c4d04d8e7a0b8155 # v3.27.7
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uses: github/codeql-action/autobuild@df409f7d9260372bd5f19e5b04e83cb3c43714ae # v3.27.9
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# ℹ️ Command-line programs to run using the OS shell.
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# 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun
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# ./location_of_script_within_repo/buildscript.sh
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- name: Perform CodeQL Analysis
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uses: github/codeql-action/analyze@babb554ede22fd5605947329c4d04d8e7a0b8155 # v3.27.7
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uses: github/codeql-action/analyze@df409f7d9260372bd5f19e5b04e83cb3c43714ae # v3.27.9
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with:
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category: "/language:${{matrix.language}}"

.github/workflows/scorecard.yml

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# Upload the results to GitHub's code scanning dashboard (optional).
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# Commenting out will disable upload of results to your repo's Code Scanning dashboard
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- name: "Upload to code-scanning"
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uses: github/codeql-action/upload-sarif@babb554ede22fd5605947329c4d04d8e7a0b8155 # v3.27.7
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uses: github/codeql-action/upload-sarif@df409f7d9260372bd5f19e5b04e83cb3c43714ae # v3.27.9
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with:
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sarif_file: results.sarif
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The repository is located [here](https://github.com/DefinetlyNotAI/VulnScan_TrainingData).
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The repository contains the following directories:
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- `Training Data`: Contains the data used to train the models. Is organized by the file size and amount, unless its Tests, where they explicitly say text.
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- `Archived Models`: Contains the previously trained models. Is organized by the model type then version.
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- `NN features`: Contains information about the model `.3n3` and the vectorizer used. Information include:
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- `Documentation_Study_Network.md`: A markdown file that contains more info.

requirements.txt

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joblib~=1.3.2
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matplotlib~=3.8.4
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xgboost~=2.1.3
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scikit-learn~=1.5.2
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scikit-learn~=1.6.0
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Faker~=30.3.0
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numpy~=1.26.4
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transformers~=4.38.2

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