AI Analysis
Final verdict: SUSPICIOUS
The package has low risks in terms of network, shell, obfuscation, and credential handling, but its metadata suggests it may be newly created with limited maintainer history, raising suspicion about its authenticity and potential for supply-chain attacks.
- Low risk in network, shell, obfuscation, and credential handling.
- Metadata risk due to new package creation and minimal maintainer history.
Per-check LLM notes
- Network: No network calls detected, which is normal unless the package is expected to communicate with external services.
- Shell: No shell execution patterns detected, indicating no direct system command execution risk.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The package shows signs of being newly created with minimal maintainer history, which raises suspicion.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
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: achek.com.ng>
Suspicious Page Links
All external links appear legitimate
Git Repository History
score 2.5
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
Maintainer History
score 6.0
3 maintainer concern(s) found
Only one version has ever been released — brand new packageAuthor 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 achek-sdk
Create a WhatsApp-based customer service chatbot using the 'achek-sdk' Python package. This chatbot will serve as a bridge between a business and its customers, providing automated responses to common inquiries, handling customer complaints, and facilitating two-way communication. Here’s a detailed breakdown of the project steps and features: 1. **Setup**: Install the 'achek-sdk' package and configure it with your Achek API credentials. 2. **Core Functionality**: Implement basic functionalities such as sending and receiving messages via WhatsApp. 3. **Automated Responses**: Set up predefined responses for common customer queries related to product information, order status, and FAQs. 4. **Two-Way Communication**: Enable the chatbot to engage in conversations by asking follow-up questions based on initial customer inputs. 5. **OTP Verification**: Integrate the One-Time Password (OTP) verification feature to ensure secure interactions. 6. **AI Integration**: Use the AI chatbot capabilities provided by Achek to handle more complex queries and provide personalized responses. 7. **Feedback Collection**: Allow customers to leave feedback after their interaction, which can be collected and analyzed for improving services. 8. **Analytics Dashboard**: Develop a simple dashboard within the chatbot to track key metrics like response times, customer satisfaction levels, and frequently asked questions. 9. **Testing and Deployment**: Thoroughly test all functionalities before deploying the chatbot to a live environment. The goal is to create a seamless, efficient, and user-friendly communication channel that enhances customer experience and supports business operations.