[Code Addition Request]: Pipeline for Detecting whether given PDF is malicious or not #569
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## Pull Request for PyVerse 💡 ### Requesting to submit a pull request to the PyVerse repository. --- #### Issue Title **Please enter the title of the issue related to your pull request.** Pipeline for Detecting whether given PDF is malicious or not - [x] I have provided the issue title. --- #### Info about the Related Issue **What's the goal of the project?** *Describe the aim of the project.* - [ ] I have described the aim of the project. --- #### Name **Please mention your name.** Darsh Agrawal - [x] I have provided my name. --- #### GitHub ID **Please mention your GitHub ID.** DarshAgrawal14 - [x] I have provided my GitHub ID. --- #### Email ID **Please mention your email ID for further communication.** [email protected] - [x] I have provided my email ID. --- #### Identify Yourself **Mention in which program you are contributing (e.g., WoB, GSSOC, SSOC, SWOC).** GSSOC - [x] I have mentioned my participant role. --- #### Closes **Enter the issue number that will be closed through this PR.** Closes: #569 - [x] I have provided the issue number. --- #### Describe the Add-ons or Changes You've Made **Give a clear description of what you have added or modified.** I have added a pipeline which detects whether the given pdf contains malware or not. It extracts features from given pdf such as meta-data , images , links , content etc and analyses it in order to detect malware or malicious content. https://github.com/user-attachments/assets/4908ba06-627a-43ba-ac21-7ea14ccf632f - [x] I have described my changes. --- #### Type of Change **Select the type of change:** - [ ] Bug fix (non-breaking change which fixes an issue) - [x] New feature (non-breaking change which adds functionality) - [ ] Code style update (formatting, local variables) - [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected) - [ ] This change requires a documentation update --- #### How Has This Been Tested? **Describe how your changes have been tested.** *Describe your testing process here.* Run the predict.py file along with path to pdf file and model will predict whether the given pdf is malicious or not - [x] I have described my testing process. --- #### Checklist **Please confirm the following:** - [x] My code follows the guidelines of this project. - [x] I have performed a self-review of my own code. - [x] I have commented my code, particularly wherever it was hard to understand. - [x] I have made corresponding changes to the documentation. - [x] My changes generate no new warnings. - [x] I have added things that prove my fix is effective or that my feature works. - [x] Any dependent changes have been merged and published in downstream modules.
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Guidelines
Latest Merged PR Link
#416
Project Description
I would like to contribute by developing a pipeline that, when provided with a PDF, extracts metadata, content, and other relevant features. These extracted elements are then processed and passed to a model, which predicts whether the PDF is malicious.
Additions:
Full Name
Darsh Agrawal
Participant Role
GSSOC
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