AI Analysis
Final verdict: SUSPICIOUS
The package shows low risks in terms of network, shell execution, obfuscation, and credential handling. However, the metadata risk score is moderately high due to the maintainer's single package history, suggesting potential supply-chain concerns.
- Metadata risk due to single package by maintainer
- Moderate network activity, though not fully detailed
Per-check LLM notes
- Network: Network calls are common in packages that require external data or services, but should be reviewed for destination and data exchanged.
- Shell: No shell execution patterns detected, which is normal and indicates no immediate risk from this aspect.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has only one package, which may indicate a new or less active account, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
score 3.0
Found 2 network call pattern(s)
ue) sess = session or requests.Session() resp = sess.get(self.url, timeout=30) respself._session = requests.Session() parsed = urlparse(referer) origin
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
No author email provided
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository TheHritu/Ephoto360 appears legitimate
Maintainer History
score 2.0
1 maintainer concern(s) found
Author "TheHritu" 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 Ephoto360
Create a desktop application named 'PhotoMoodChanger' using Python that leverages the Ephoto360 package to apply various artistic effects to user-uploaded images. The application should allow users to select an input image from their local file system, choose from a variety of pre-defined artistic styles available through the Ephoto360 API, and save the transformed image back to their computer. Step-by-Step Requirements: 1. Design a simple graphical user interface (GUI) using a library such as PyQt5 or Tkinter, which includes buttons for selecting an input image, a dropdown menu to select an effect style, and a button to apply the chosen effect. 2. Implement functionality to upload an image file from the user's local storage via the GUI. 3. Utilize the Ephoto360 package to process the uploaded image according to the selected artistic style. 4. Display the processed image within the GUI after applying the effect. 5. Provide a feature to save the processed image to the user's local storage with an option to specify the file name and location. Suggested Features: - Include a preview pane in the GUI to show the original and transformed images side-by-side. - Add support for multiple image formats (JPEG, PNG, etc.) and handle any potential errors gracefully. - Allow users to undo the last applied effect and revert to the original image. - Incorporate a settings panel where users can customize parameters like brightness, contrast, or saturation if supported by the Ephoto360 package. - Implement a feature to automatically generate a thumbnail of the processed image and display it in a gallery view. How to Utilize Ephoto360 Package: - Integrate the Ephoto360 package into your application by following its installation instructions and importing the necessary modules. - Use the Ephoto360 API methods to load the user's image, apply the selected effect, and retrieve the modified image data. - Ensure that the application handles authentication and rate limiting as specified by the Ephoto360 service terms.