AI Analysis
Final verdict: SUSPICIOUS
The package exhibits moderate risks due to its potential for network and shell execution activities, which could be exploited for malicious purposes. However, the lack of obfuscation and reasonable credential handling slightly mitigate these concerns.
- High network risk
- Moderate shell execution risk
- Legitimate credential handling
- New author account with low maintenance effort
Per-check LLM notes
- Network: The network patterns suggest the package may be making HTTP requests to external servers which could potentially be used for data exfiltration or C2 communications.
- Shell: The shell execution patterns indicate that the package is executing commands on the host system, which could be risky if not properly sanitized or intended to perform unauthorized actions.
- Obfuscation: No obfuscation patterns detected.
- Credentials: The code snippet appears to be prompting for a Telegram 2FA password and handling user input, which is likely a legitimate use.
- Metadata: Low risk due to lack of suspicious flags, but author's new account and absence of PyPI classifiers suggest low maintenance effort.
Heuristic Checks
Outbound Network Calls
score 9.0
Found 6 network call pattern(s)
se 80)) try: with socket.create_connection((host, port), timeout=float(timeout_s)): returnBearer {token}" request = urllib.request.Request(url, data=data, headers=headers, method=method.upperpper()) try: with urllib.request.urlopen(request, timeout=8.0) as response: raw =re_token}" request = urllib.request.Request( core_server_url(str(self._route.remote_try: with urllib.request.urlopen(request, timeout=120.0) as response:max_tokens), } req = urllib.request.Request( endpoint, data=json.dumps(payload).
Code Obfuscation
No obfuscation patterns detected
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
, ] try: p = subprocess.run( cmd, capture_output=True,", "-l"] try: p = subprocess.run( cmd, capture_output=True,True try: subprocess.run( ["git", "-C", str(repo), "worktree", "add",, "wb") as f: subprocess.run( ["git", "-C", str(root), "diff", "--biname}/" proc = subprocess.run( [ "git",str: try: proc = subprocess.run( ["git", *args], cwd=str(Path(cwd).r
Credential Harvesting
score 2.5
Found 1 credential access pattern(s)
.strip() or None pw = getpass.getpass("Telegram 2FA password (leave blank if none): ").strip() or
Typosquatting
No typosquatting candidates detected
Registered Email Domain
No author email provided
Suspicious Page Links
score 10.0
Found 6 suspicious link(s) on the package page
Non-HTTPS external link: http://127.0.0.1:8080/docs`Non-HTTPS external link: http://127.0.0.1:8080/api/healthNon-HTTPS external link: http://127.0.0.1:8080/api/gateway/bundlesNon-HTTPS external link: http://host.docker.internal:1234/v1Non-HTTPS external link: http://model-runner.docker.internal/engines/v1`Non-HTTPS external link: http://host.docker.internal:1234/v1`
Git Repository History
Repository lpalbou/abstractgateway appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author "Laurent-Philippe Albou" appears to have only 1 package on PyPI (new or inactive account)Package has no PyPI classifiers (low effort / metadata quality)
Known CVE Vulnerabilities
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Use this prompt to build a project with abstractgateway
Create a mini-application called 'AbstractTaskManager' using the Python package 'abstractgateway'. This application will serve as a simplified task management system where users can create, read, update, and delete tasks. Additionally, it will maintain a ledger of all transactions for auditing purposes. Step-by-step requirements: 1. Set up a basic Flask web server that integrates with 'abstractgateway' to handle command execution and ledger management. 2. Implement endpoints for creating new tasks, which include details such as task name, description, due date, and status. 3. Develop functionality to retrieve a list of all tasks, filter by status, and search by task name. 4. Add support for updating existing tasks, including changing their details or marking them as completed. 5. Include a feature to delete tasks from the system. 6. Utilize the 'abstractgateway' package to manage the commands for task operations and maintain a ledger of these operations for audit trails. 7. Ensure that the application logs all interactions with the ledger in a structured format. 8. Provide a simple user interface for interacting with the task manager, allowing users to perform CRUD operations on tasks. Suggested Features: - User authentication to secure access to task data. - Email notifications for task completion or due dates approaching. - Integration with a calendar API to sync task due dates. - A dashboard view showing statistics about tasks, such as number of completed vs pending tasks. How to utilize 'abstractgateway': - Use 'abstractgateway' to set up a gateway for handling commands related to task management operations (create, read, update, delete). - Leverage the ledger functionality provided by 'abstractgateway' to log every interaction with the task data, ensuring a complete history of changes is available for review. - Explore the deployment capabilities of 'abstractgateway' to ensure the task manager can run smoothly on different environments.