AI Analysis
Final verdict: SUSPICIOUS
The package has legitimate uses of shell commands but raises concerns due to incomplete author information and potential inactivity of the maintainer.
- Shell commands used for file manipulation and signing
- Incomplete author information and potential inactivity of the maintainer
Per-check LLM notes
- Network: No network calls detected, which is normal.
- Shell: Shell commands are used for file manipulation and signing, which may be legitimate for an ADB-related tool but should be reviewed for context and necessity.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
- Metadata: The author information is incomplete and the maintainer seems to be new or inactive, raising some suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
signature_cmd}") with subprocess.Popen(print_signature_cmd, shell=True, stdout=subprocess.PIPE, stdmand {abe_cmd}") with subprocess.Popen(abe_cmd, shell=True, stdout=subprocess.PIPE, stderr=subproceting backup.ab") with subprocess.Popen("rm backup.ab", shell=True, stdout=subprocess.PIPE, stderr=sting "{final_cmd}"') with subprocess.Popen(final_cmd, shell=True, stdout=subprocess.PIPE, stderr=subpross.Popen(print_signature_cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as ps1:ith subprocess.Popen(abe_cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) as ps:
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: ashishb.net>
Suspicious Page Links
All external links appear legitimate
Git Repository History
No GitHub repository linked
No GitHub repository link found
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 adb-enhanced
Create a mini-application called 'Android Tester' that leverages the 'adb-enhanced' package to facilitate the automation of common tasks during Android app testing. This tool will be designed to streamline the process of testing multiple Android applications on various devices efficiently. Hereβs a detailed breakdown of the project requirements: 1. **Device Management**: Implement functionality to detect connected Android devices via USB or Wi-Fi using 'adb-enhanced'. Allow users to select and manage these devices easily. 2. **App Installation & Uninstallation**: Enable users to install APK files on selected devices and uninstall apps as well. Ensure error handling for cases where installation fails due to permissions or other issues. 3. **Screenshot Capture**: Develop a feature that captures screenshots from each connected device and saves them locally on the user's computer. Include options to specify file names and directories. 4. **Logcat Viewer**: Integrate a logcat viewer within the application to monitor logs from the selected device(s). Users should be able to filter logs based on specific tags or timestamps. 5. **Performance Metrics**: Utilize 'adb-enhanced' to gather performance metrics such as CPU usage, memory usage, and battery status. Display these metrics in a user-friendly format. 6. **Automation Scripts**: Provide a basic scripting interface where users can create simple automation scripts to perform repetitive tasks like launching apps, taking screenshots, and capturing logs at regular intervals. 7. **User Interface**: Design a clean and intuitive graphical user interface using a library like PyQt or Tkinter to make the application accessible to users without extensive technical knowledge. 8. 'adb-enhanced' Package Utilization: Throughout the development process, utilize 'adb-enhanced' to handle all interactions with Android devices. This includes commands for device detection, app management, screenshot capture, log viewing, and performance monitoring. Your task is to design and implement this application, ensuring it is robust, user-friendly, and fully functional. Pay special attention to error handling and the integration of 'adb-enhanced' functionalities.