AI Analysis
Final verdict: SUSPICIOUS
The package shows moderate risk due to potential shell execution patterns which can be used to run arbitrary code, despite having low risks in other areas like obfuscation and credentials.
- Shell risk detected
- Missing author information and non-secure links
Per-check LLM notes
- Network: No network calls were detected.
- Shell: Detected shell execution patterns may indicate the package is designed to run Node.js scripts locally, but could also signify potential execution of arbitrary code, warranting further investigation.
- Obfuscation: No obfuscation patterns detected, indicating low risk of malicious intent.
- Credentials: No credential harvesting patterns detected, indicating low risk of secret theft.
- Metadata: The package has some red flags such as missing author information and non-secure links, but there's no clear evidence of typosquatting or active malicious intent.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
usic, true); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, texit(1); }); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, t'bare-id'); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, tideo-node'); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, tth'), true); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, tate.user"'); """ result = subprocess.run( ["node", "-e", script], cwd=ROOT, t
Credential Harvesting
No credential harvesting patterns detected
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: abstractflow.ai>
Suspicious Page Links
score 4.0
Found 2 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8080/api/gateway/admin/usersNon-HTTPS external link: http://127.0.0.1:8080
Git Repository History
Repository lpalbou/AbstractFlow appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author 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 abstractflow
Create a fully-functional mini-app that allows users to design and execute simple workflows using the 'abstractflow' package. This app should enable users to visually create workflows by dragging and dropping predefined steps into a canvas, connecting them with arrows to define the flow of execution. Each step can represent a different action such as sending an email, querying a database, or processing data. Here are the key features your app should include: 1. **User Interface**: Develop a user-friendly interface where users can add, remove, and rearrange workflow steps. Provide a sidebar with a library of available steps. 2. **Step Execution**: Implement functionality that allows users to run their workflows directly from the app. Steps should be executed in sequence based on the connections made between them. 3. **Visualization**: Utilize 'abstractflow' to render the workflow graphically, ensuring that the connections between steps are clearly visible. 4. **Error Handling**: Integrate error handling to notify users when there are issues with their workflow setup, such as missing connections or incorrect step configurations. 5. **Persistence**: Allow users to save their workflows locally or remotely, and load previously saved workflows back into the app. 6. **Documentation**: Include a help section within the app that explains how to use each step and how to set up a workflow effectively. Utilize 'abstractflow' throughout the development process to handle the core aspects of workflow creation and visualization. Your goal is to create a tool that simplifies the process of designing and executing workflows, making it accessible to users with varying levels of technical expertise.