AI Analysis
The package exhibits multiple high-risk behaviors including potential unauthorized data transmission, command injection vulnerabilities, and direct access to sensitive system files. These factors combined with low repository activity and lack of maintainer information suggest a high likelihood of malicious intent.
- High shell risk due to execution of subprocess commands
- Potential credential harvesting from accessing /etc/passwd
- Low repository activity and unknown maintainer
Per-check LLM notes
- Network: The network call to 'api/chat' is unusual and may indicate unauthorized data transmission.
- Shell: Executing subprocess commands based on external input poses a high risk of command injection and unauthorized access.
- Obfuscation: The use of base64 decoding on what appears to be a secret key suggests obfuscation or encryption of sensitive information, which could be legitimate but also suspicious without context.
- Credentials: Direct access to system files like '/etc/passwd' indicates potential unauthorized credential harvesting, which is highly suspicious and likely malicious.
- Metadata: The repository's low activity and the maintainer's lack of information raise concerns about potential malicious intent.
Package Quality Overall: Medium (5.8/10)
Test suite present — 22 test file(s) found
Test runner config found: pyproject.toml22 test file(s) detected (e.g. test_archive.py)
Some documentation present
Detailed PyPI description (7026 chars)
No contributing guide or governance files found
No CONTRIBUTING, CODE_OF_CONDUCT, or governance files found
Partial type annotation coverage
324 type-annotated function signatures detected in source
Active multi-contributor project
3 unique contributor(s) across 25 commits in tronmongoose/agent.carryallSmall but multi-author team (3–4 contributors)
Heuristic Checks
Found 2 network call pattern(s)
api/chat" async with aiohttp.ClientSession() as session: async with session.post(y: async with aiohttp.ClientSession() as session: async with session.post(ur
Found 2 obfuscation pattern(s)
"" secret_key_bytes = base64.b64decode(secret_key_b64) self.import_key(agent_id, secret_keyh) as f: loaded = __import__("json").load(f) assert loaded["report_type"] == "agent_acce
Found 1 shell execution pattern(s)
try: result = subprocess.run( self.mcp_command, input=jso
Found 2 credential access pattern(s)
ope secure_read(path="/etc/passwd") # Raises PermissionDenied # This works with valope secure_read(path="/etc/passwd", _envelope=valid_envelope) ``` """ def __
No typosquatting candidates detected
Email domain looks legitimate: authority-runtime.dev>
All external links appear legitimate
Git history flags: Repository has zero stars and zero forks
Repository has zero stars and zero forks
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Develop a Python-based mini-application named 'SecureTaskManager' that leverages the 'authority-runtime' package to manage tasks securely within a distributed system environment. This application will allow users to create, assign, and execute tasks while ensuring that each task is executed only if it passes a strict security check enforced by cryptographic policies. Here’s a detailed breakdown of the project scope and requirements: 1. **Task Creation**: Users should be able to define new tasks, specifying the task details such as name, description, and required actions. 2. **Task Assignment**: Each task must be assigned to one or more agents, who are responsible for executing the task. The assignment process should include generating a cryptographic envelope using Ed25519 signatures that encloses the task details and specifies the necessary permissions for execution. 3. **Execution Authorization**: Before any agent executes a task, 'SecureTaskManager' must verify the authenticity and integrity of the task using the cryptographic envelope provided. Only if the verification succeeds, the task is allowed to proceed. 4. **Audit Logs**: Maintain a comprehensive audit log of all tasks including their creation, assignment, attempted execution, and actual execution status. This log should also record any failed verifications due to invalid cryptographic envelopes. **Suggested Features**: - Support for multiple users and roles within the system. - Real-time notifications for task assignments and execution statuses. - A user-friendly command-line interface (CLI) for interacting with 'SecureTaskManager'. - Integration with existing logging frameworks for enhanced monitoring and debugging capabilities. **Utilization of 'authority-runtime' Package**: - Use 'authority-runtime' to generate cryptographic envelopes for each task, which includes the task details and the required permissions. - Implement the verification logic using 'authority-runtime' to ensure that only tasks with valid cryptographic signatures are executed. - Leverage the IAM capabilities of 'authority-runtime' to manage different roles and permissions across users and agents. Your goal is to demonstrate a practical use case for the 'authority-runtime' package in securing task management within a distributed system, ensuring that every action taken is both secure and auditable.
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