assemblyline-core

v4.7.4.3 safe
3.0
Low Risk

Assemblyline 4 - Core components

🤖 AI Analysis

Final verdict: SAFE

The package assemblyline-core v4.7.4.3 is assessed as having a low risk score due to minimal risks associated with network, shell, obfuscation, and credential handling. The metadata risk slightly increases the score due to the author's limited package history.

  • Low risk scores across multiple categories.
  • Metadata risk suggests potential new or less active account.
Per-check LLM notes
  • Network: The package makes network calls which seem to be related to resource monitoring and could be legitimate depending on the package's functionality.
  • Shell: No shell execution patterns were detected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
  • Credentials: No credential harvesting patterns detected, suggesting safe handling of secrets.
  • Metadata: The author has only one package, which may indicate a new or less active account but does not necessarily imply malicious intent.

📦 Package Quality Overall: Medium (6.6/10)

✦ High Test Suite 9.0

Test suite present — 11 test file(s) found

  • Test runner config found: setup.cfg
  • 11 test file(s) detected (e.g. test_alerter.py)
◈ Medium Documentation 5.0

Some documentation present

  • Detailed PyPI description (7475 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 131 type-annotated function signatures detected in source
✦ High Multiple Contributors 10.0

Active multi-contributor project

  • 6 unique contributor(s) across 100 commits in CybercentreCanada/assemblyline-core
  • Active community — 5 or more distinct contributors

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

  • limits', {}) cpu_value = requests.get('cpu', limits.get('cpu', None)) if cpu_value is not None
  • pu_value) memory_value = requests.get('memory', limits.get('memory', None)) if memory_value is
  • try: resp = requests.get(url, headers=headers, verify=verify, proxies=proxies)
  • p://') resp = requests.get(url, headers=headers, verify=verify, proxies=proxies)
  • refresh_token = requests.post( f"https://{server}/oauth2/exchange",
  • en"] token = requests.post( f"https://{server}/oauth2/token",
✓ Code Obfuscation

No obfuscation patterns detected

✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: cyber.gc.ca

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository CybercentreCanada/assemblyline-core appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "CCCS Assemblyline development team" appears to have only 1 package on PyPI (new or inactive account)
✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with assemblyline-core 
Create a cybersecurity threat intelligence platform using the 'assemblyline-core' package. This platform will serve as a tool for analyzing and categorizing various types of security threats. Here’s a step-by-step guide on how to build this application:

1. **Project Setup**: Begin by setting up your development environment. Ensure you have Python installed, and create a virtual environment for your project. Install 'assemblyline-core' and any other necessary dependencies.

2. **Application Design**: Design your application to include modules for data ingestion, threat analysis, and reporting. The 'assemblyline-core' package provides essential components for processing and analyzing large volumes of data, which will be crucial for your threat intelligence platform.

3. **Data Ingestion Module**: Develop a module that allows users to upload files or URLs for analysis. Use 'assemblyline-core' to handle the ingestion process efficiently, ensuring that data is stored securely and can be processed in batches if needed.

4. **Threat Analysis Engine**: Utilize 'assemblyline-core' to implement a sophisticated threat analysis engine. This engine should be capable of detecting malicious activities such as malware, phishing attempts, and other cyber threats. Integrate machine learning models if available within 'assemblyline-core' to enhance detection capabilities.

5. **Reporting System**: Implement a feature that generates detailed reports based on the analysis results. Users should be able to view summaries of detected threats, along with detailed information about each threat identified.

6. **User Interface**: Create a simple yet effective user interface where users can interact with the platform. The UI should allow users to upload files, monitor the status of their analyses, and access reports.

7. **Security Measures**: Since this is a cybersecurity tool, ensure that all data transmitted between the client and server is encrypted. Also, implement robust security measures to protect the application from unauthorized access and attacks.

8. **Testing and Deployment**: Thoroughly test your application to ensure it works as expected. Once satisfied, deploy your application to a cloud service provider like AWS or Azure for wider accessibility.

By following these steps and utilizing the powerful features provided by 'assemblyline-core', you will create a valuable tool for organizations looking to enhance their cybersecurity posture.

💬 Discussion Feed

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