AI Analysis
The package shows some signs of obfuscation but lacks indicators of malicious intent such as network exploitation, shell execution, or credential theft. The metadata suggests a new or less active account but does not raise significant concerns.
- Moderate obfuscation through base64 decoding and AES encryption
- No evidence of malicious activities
Per-check LLM notes
- Network: The use of requests.Session() is common for making HTTP requests and does not inherently suggest malicious activity.
- Shell: No shell execution patterns were detected.
- Obfuscation: The presence of base64 decoding and AES encryption suggests potential obfuscation but could also be legitimate use of cryptographic functions.
- Credentials: No clear patterns indicating credential harvesting have been detected.
- Metadata: The author has only one package, which could indicate a new or less active account, but no other red flags are present.
Package Quality Overall: Medium (5.0/10)
No test suite detected
No test files or test-runner configuration detected
Some documentation present
Detailed PyPI description (6070 chars)
No contributing guide or governance files found
Separate author ("Umang Shah") and maintainer ("Chris Swan") listed
Partial type annotation coverage
37 type-annotated function signatures detected in source
Active multi-contributor project
5 unique contributor(s) across 100 commits in atsign-foundation/at_pythonActive community — 5 or more distinct contributors
Heuristic Checks
Found 1 network call pattern(s)
self): self.session = requests.Session() self.headers = { "Content-Type": "appl
Found 6 obfuscation pattern(s)
ption_key_shared_by_other, iv=base64.b64decode(ivNonce)) new_event_data = dict(encode('utf-8') key = base64.b64decode(key_base64) cipher = Cipher(algorithms.AES(key), mod* 16): cipher_text = base64.b64decode(encrypted_text) key = base64.b64decode(self_encryptiencrypted_text) key = base64.b64decode(self_encryption_key) cipher = Cipher(algorithms.AES(vate_key.decrypt( base64.b64decode(cipher_text), rsa_padding.PKCS1v15() )ase64(s): key_bytes = base64.b64decode(s.encode('utf-8')) return load_der_private_key(key_b
No shell execution patterns detected
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com
All external links appear legitimate
Repository atsign-foundation/at_python appears legitimate
1 maintainer concern(s) found
Author "Umang Shah" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application called 'atPlatform Dashboard' that leverages the Python package 'atsdk' to interact with and manage resources on the atPlatform. This application will serve as a user-friendly interface for monitoring and controlling various aspects of your atPlatform environment, including but not limited to managing users, roles, and permissions, as well as deploying and scaling applications. ### Core Features: 1. **User Management**: Allow users to view, add, edit, and delete user profiles within the atPlatform environment. 2. **Role & Permission Control**: Enable administrators to assign roles and permissions to different users based on their responsibilities. 3. **Application Deployment**: Provide functionality to deploy new applications to the atPlatform and monitor their status. 4. **Resource Scaling**: Implement tools for dynamically scaling resources up or down based on demand. 5. **Health Monitoring**: Display real-time health metrics of deployed applications, including CPU usage, memory usage, and network activity. ### Utilization of 'atsdk': - Use the 'atsdk' package to authenticate and establish a connection to the atPlatform. - Leverage the provided functions in 'atsdk' to perform CRUD operations on user data. - Utilize 'atsdk' methods for role management, such as assigning and revoking permissions. - Employ 'atsdk' deployment APIs to upload and manage application instances. - Integrate 'atsdk' monitoring APIs to retrieve and display application health data. ### Development Steps: 1. Set up a virtual environment and install 'atsdk' along with other necessary dependencies like Flask for web framework. 2. Design the database schema and models to store user data and application configurations. 3. Implement authentication and authorization mechanisms using 'atsdk'. 4. Develop RESTful API endpoints for each feature using Flask. 5. Create a frontend using HTML/CSS/JavaScript to provide a seamless user experience. 6. Test all functionalities thoroughly to ensure reliability and performance. 7. Deploy the application on a cloud service provider of choice. This project aims to demonstrate the power and flexibility of 'atsdk' in building robust, scalable applications for the atPlatform.
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