aa-bb

v3.3.4 suspicious
5.0
Medium Risk

BigBrother

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to network and obfuscation activities, raising suspicion of potential malicious intent despite no concrete evidence of credential harvesting or shell execution.

  • High network risk due to external service calls
  • Significant obfuscation risk indicating possible evasion tactics
Per-check LLM notes
  • Network: The package makes network calls to external services which may indicate data collection or communication with third-party servers, raising concerns about potential data exfiltration or command and control activities.
  • Shell: No shell execution patterns were detected in the provided code snippet.
  • Obfuscation: The observed pattern is likely an attempt to obfuscate code, which could be used for malicious purposes such as evading detection.
  • Credentials: No patterns indicative of credential harvesting were detected.
  • Metadata: The maintainer has a new or inactive account with no author name, which could indicate potential risk but lacks clear evidence of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • y: response = requests.get( f"https://janice.e-351.com/api/rest/v2/
  • y: response = requests.get( "https://market.fuzzwork.co.uk/aggregat
  • y: response = requests.post(webhook_url, json=payload) if VERBOSE_WEBHO
  • CorpBrother" } resp = requests.get(url, headers=headers) resp.raise_for_status() data =
  • quests.Session: session = requests.Session() session.headers.update(HEADERS) # Disable automati
⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • try: module = __import__(path, fromlist=[name]) return getattr(module, name) except E
✓ 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: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository BroodLK/aa_bb appears legitimate

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 aa-bb 
Create a comprehensive surveillance system named 'EagleEye' using the Python package 'BigBrother'. This application will serve as a robust tool for monitoring activities within a specified environment, such as a home or office, by leveraging advanced functionalities provided by the 'BigBrother' library. Your task is to design and implement a fully functional mini-application that integrates various surveillance capabilities into a cohesive system.

**Core Features:**
- **Real-time Video Monitoring**: Capture live video feeds from multiple cameras simultaneously.
- **Motion Detection**: Automatically detect movements within the monitored areas and trigger alerts.
- **Activity Logging**: Record all detected events along with timestamps and descriptions.
- **Alert Notifications**: Send notifications via email or SMS when significant activities are detected.
- **Dashboard Interface**: Provide a user-friendly interface for viewing live streams, reviewing logs, and configuring settings.

**Steps to Develop EagleEye Application:**
1. **Environment Setup**: Ensure your development environment includes Python and the 'BigBrother' package installed.
2. **Initialization**: Start by importing necessary modules from the 'BigBrother' package and initializing your surveillance system.
3. **Camera Integration**: Integrate multiple camera sources into your application, ensuring they can stream video data efficiently.
4. **Implement Motion Detection**: Use 'BigBrother' functionalities to enable real-time motion detection on captured video feeds.
5. **Logging Mechanism**: Design a logging system to document all detected motions and other relevant activities.
6. **Notification System**: Set up a notification service that sends alerts to users based on predefined conditions.
7. **User Interface Development**: Build a simple yet effective dashboard where users can interact with the system, view live feeds, and access logs.
8. **Testing and Optimization**: Thoroughly test each component of the application and optimize performance.
9. **Documentation**: Prepare comprehensive documentation detailing installation procedures, configuration options, and usage instructions.

**How 'BigBrother' Package is Utilized:**
- Leverage the 'BigBrother' package for its specialized functions related to video processing, motion detection, and activity logging.
- Utilize the package's API for integrating different camera models and handling their unique protocols.
- Employ 'BigBrother' tools for enhancing the reliability and efficiency of motion detection algorithms.
- Use the package's utilities for generating detailed logs and facilitating communication between the system components.

Your goal is to create a versatile surveillance solution that not only meets but exceeds expectations in terms of functionality and ease-of-use.