agenarc

v0.7.1 suspicious
6.0
Medium Risk

Directed-graph Agent Orchestration Engine

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to shell execution and obfuscation, suggesting potential malicious behavior. However, without concrete evidence of credential harvesting or clear signs of a supply-chain attack, it remains suspicious rather than outright malicious.

  • High shell execution risk
  • High obfuscation risk
Per-check LLM notes
  • Network: The detected network patterns indicate the package is making external API calls which could be for legitimate purposes but also may suggest unauthorized data transfer.
  • Shell: The shell execution patterns show potential for executing arbitrary commands, which poses a significant risk if not properly controlled, indicating possible malicious intent.
  • Obfuscation: The use of dynamic imports through __import__ suggests an attempt to hide code logic, which is commonly used in malicious scripts.
  • Credentials: No direct patterns for harvesting credentials were detected.
  • Metadata: The maintainer has only one package, suggesting a potentially new or less active account which may warrant further investigation.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 7.5

Found 5 network call pattern(s)

  • ty via HEAD req = urllib.request.Request(base_url, method="HEAD") req.add_header(
  • ation/json") with urllib.request.urlopen(req, timeout=10): print("OK")
  • }/api/tags" req = urllib.request.Request(url, method="GET") with urllib.request.u
  • ethod="GET") with urllib.request.urlopen(req, timeout=10): print("OK")
  • rl}/models" req = urllib.request.Request(url, method="GET") req.add_header("Autho
⚠ Code Obfuscation score 10.0

Found 6 obfuscation pattern(s)

  • y: return __import__(name) except ImportError: ret
  • kets"), "os": __import__("os"), "struct": __import__("struct"),
  • "), "struct": __import__("struct"), "socket": __import__("socket"),
  • "), "socket": __import__("socket"), "base64": __import__("base64"),
  • "), "base64": __import__("base64"), "json": __import__("json"),
  • 64"), "json": __import__("json"), "urllib": __import__("urllib"),
⚠ Shell / Subprocess Execution score 2.0

Found 1 shell execution pattern(s)

  • or {})} process = subprocess.Popen( config.command, stdin=subpr
✓ 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 Rycbartbad/agenarc appears legitimate

⚠ Maintainer History score 2.0

1 maintainer concern(s) found

  • Author "Rycbartbad" 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 agenarc 
Create a fully-functional mini-application that orchestrates a network of agents using the 'agenarc' package. Your application should simulate a simple supply chain management system where different agents represent various roles such as suppliers, manufacturers, distributors, and retailers. Each agent will have specific tasks and responsibilities within the supply chain, and they must communicate and coordinate their actions through a directed graph structure provided by 'agenarc'.

The application should include the following features:
1. Define multiple types of agents (suppliers, manufacturers, distributors, retailers).
2. Implement a directed graph structure to model the flow of goods from suppliers to retailers.
3. Enable each agent to perform actions based on its role, such as producing goods, transporting goods, or selling goods.
4. Integrate a messaging system where agents can send notifications to each other about inventory levels, production status, etc.
5. Include a monitoring dashboard that visualizes the current state of the supply chain, showing which agents are active, the flow of goods, and any bottlenecks or issues.
6. Allow users to interact with the system by adding new agents, changing roles, or simulating disruptions in the supply chain.

Your task is to design and implement this mini-application from scratch, utilizing the core features of the 'agenarc' package to manage the orchestration of these agents. Provide clear documentation and comments within your code to explain how 'agenarc' is utilized at each stage of the process.