AI Analysis
Final verdict: SUSPICIOUS
The package shows typical API interaction patterns but raises concerns due to the author's limited history with PyPI, increasing the suspicion level.
- author has only one package
- network interactions could indicate potential unauthorized access
Per-check LLM notes
- Network: The observed network patterns are typical for API interactions but could indicate unauthorized access if the API endpoints and parameters are not properly secured.
- Shell: No shell execution patterns were detected.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
- Credentials: No credential harvesting patterns detected, indicating low risk of malicious activity related to secret theft.
- Metadata: The author has only one package, which could indicate a new or less active user, raising some suspicion but not conclusive evidence of malintent.
Heuristic Checks
Outbound Network Calls
score 6.0
Found 4 network call pattern(s)
== "get": r = requests.get( url, params=Session== "put": r = requests.put( url, Session._safe_= "post": r = requests.post( url, Session._safe_"delete": r = requests.delete( url, params=Session
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: accsyn.com
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository accsyn/accsyn-python-api appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "Henrik Norin" 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 accsyn-python-api
Create a real-time data synchronization utility using the 'accsyn-python-api' package. This utility will enable seamless and secure data transfer between two different systems, ensuring that any updates made on one system are instantly reflected on the other. The utility should support various types of data, including but not limited to text files, images, and database entries. Additionally, it should offer options for customization, such as specifying the frequency of synchronization, setting up encryption keys for secure transmission, and providing error handling mechanisms to ensure robustness. Step 1: Set up your development environment. Ensure you have Python installed along with the necessary libraries, including 'accsyn-python-api'. Step 2: Design the user interface for your utility. It should allow users to select which data types they want to synchronize, specify the source and destination locations, set up encryption if desired, and define the synchronization interval. Step 3: Implement the core functionality using 'accsyn-python-api'. Use its features to initiate the synchronization process, handle data transfer securely, and manage any errors that may occur during transmission. Step 4: Add advanced features such as logging of all synchronization activities, notifications when synchronization completes successfully or fails, and options to pause/resume synchronization processes. Step 5: Test your utility thoroughly under different scenarios to ensure reliability and efficiency. Make sure to test both successful and failed synchronization cases to validate the robustness of your error handling. Suggested Features: - Support for multiple file formats and databases - Customizable synchronization intervals - Encryption options for secure data transmission - Logging and notification system for synchronization status updates - Pause and resume functionalities for ongoing synchronization processes - Detailed error messages and retry mechanisms Utilizing 'accsyn-python-api', your application will leverage its capabilities to provide a reliable, efficient, and secure way of synchronizing data across different systems.