🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to network calls and subprocess execution, which could potentially be exploited for malicious purposes. While there is no concrete evidence of malicious intent, these features warrant further scrutiny.

High shell risk due to subprocess execution
Moderate network risk from potential data exfiltration

Per-check LLM notes

Network: The package makes network calls that could potentially be used for data exfiltration.
Shell: Subprocess execution with shell=True is risky and can lead to arbitrary code execution if inputs are not properly sanitized.
Obfuscation: The presence of base64 decoding suggests some level of obfuscation, but it could also be used for legitimate purposes such as handling encrypted data.
Credentials: No clear patterns indicating credential harvesting were found.
Metadata: The package shows some suspicious signs but lacks clear evidence of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 9.0

Found 6 network call pattern(s)

} response = requests.post(url=url, json=body, headers=self.getHeaders()).text
= headers response = requests.post(url=url, data=formData, headers=headers).text print
t(body) response = requests.post(url, json=body, headers=self.getHeaders()).text pri
# 发起流式请求，只获取部分内容 # response = requests.get(url, headers=headers, stream=False, timeout=10) # response.r
content) # # # # # response = requests.get(url, stream=True) # audio_data = BytesIO(response.content)
# 请求文件,字段名一般为file res = requests.post(api_url, files=file, headers=header) # 使用requests库上传文件

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

解码 decoded_payload = base64.b64decode(payload_part + '==', validate=True).decode('utf-8') exce

⚠ Shell / Subprocess Execution score 4.0

Found 2 shell execution pattern(s)

perimental {output_file}' subprocess.call(command, shell=True) # 调用函数进行音频和视频合并 merge_audio_video(aud
subprocess.call(command, shell=True) # 调用函数进行音频和视频合并 merge_audio_video(audio_path, video_path

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

⚠ Registered Email Domain score 3.0

Suspicious email domain flags: Very short email domain: qq.com

Very short email domain: qq.com

⚠ Suspicious Page Links score 4.0

Found 2 suspicious link(s) on the package page

Non-HTTPS external link: http://pepy.tech/badge/meutils
Non-HTTPS external link: http://pepy.tech/project/meutils

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

Author "yuanjie" 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 MeUtils

Create a personal finance tracker mini-app using the Python package 'MeUtils'. This app will help users manage their daily expenses and income, providing insights into spending habits and financial health. Here’s a step-by-step guide on how to build it:

1. **Setup Project Environment**: Begin by setting up your development environment. Ensure you have Python installed along with the 'MeUtils' package. Use pip to install 'MeUtils' if it's not already available.

2. **Application Structure**: Define the structure of your application. It should include modules for managing user accounts, tracking transactions, and generating reports. Use 'MeUtils' for utility functions such as logging, data validation, and file handling.

3. **User Account Management**: Implement a system for users to create accounts and log in securely. Utilize 'MeUtils' for hashing passwords and securely storing sensitive information.

4. **Transaction Tracking**: Allow users to record their daily expenses and incomes. Each transaction should include details like date, amount, category, and notes. Leverage 'MeUtils' for data validation and formatting.

5. **Reporting and Analysis**: Develop features that generate monthly expense reports, categorize expenses, and calculate savings. Use 'MeUtils' for efficient data processing and visualization.

6. **Data Security**: Implement measures to ensure user data is secure. Use 'MeUtils' for encryption and secure data storage.

7. **User Interface**: Design a simple yet effective user interface. Consider both command-line and web-based interfaces, utilizing 'MeUtils' for any necessary UI/UX improvements.

8. **Testing and Deployment**: Thoroughly test your application to ensure all features work correctly. Deploy your application using a cloud service provider, ensuring it's accessible and scalable.

**Suggested Features**:
- User-friendly dashboard for quick access to financial summaries.
- Notification system for upcoming bills and low balance alerts.
- Budget planning tools.
- Integration with popular payment methods for direct expense recording.
- Historical data analysis tools for trend identification.

Ensure every aspect of the application leverages 'MeUtils' for enhanced functionality and reliability.