authsec-langchain-sdk

v0.1.2 suspicious
5.0
Medium Risk

AuthSec identity, delegation, and CIBA approval for LangChain agents

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risk due to unverified network interactions and insufficient metadata. It is recommended to further investigate the authenticity of the package and its network communications.

  • Network risk due to potential insecure URL and token handling
  • Metadata risk due to missing repository and limited maintainer information
Per-check LLM notes
  • Network: The presence of network calls is expected for a package that likely interacts with an authentication service, but it should be confirmed if the URL and token handling are secure.
  • Shell: No shell execution patterns detected, which is normal and expected.
  • Obfuscation: No obfuscation patterns detected, indicating low risk of malicious obfuscation.
  • Credentials: No credential harvesting patterns detected, indicating low risk of malicious credential theft.
  • Metadata: The repository is not found and the maintainer has limited information, which raises suspicion.

📦 Package Quality Overall: Medium (5.2/10)

✦ High Test Suite 9.0

Test suite present — 1 test file(s) found

  • Test runner config found: pyproject.toml
  • 1 test file(s) detected (e.g. test_client.py)
◈ Medium Documentation 7.0

Some documentation present

  • Documentation URL: "Documentation" -> https://docs.authsec.ai
  • Detailed PyPI description (13667 chars)
○ Low Contributing Guide 4.0

No contributing guide or governance files found

  • Development Status classifier >= Beta
◈ Medium Type Annotations 5.0

Partial type annotation coverage

  • 9 type-annotated function signatures (partial)
○ Low Multiple Contributors 1.0

Could not retrieve contributor data from GitHub

  • GitHub API error: 404

🔬 Heuristic Checks

⚠ Outbound Network Calls score 1.5

Found 1 network call pattern(s)

  • oken}" self._client = httpx.Client( base_url=config.base_url.rstrip("/"),
✓ 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

Email domain looks legitimate: authsec.ai>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

  • Repository not found (deleted or private)
⚠ Maintainer History score 4.0

2 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 authsec-langchain-sdk 
Create a fully-functional mini-application named 'LangChainIdentityManager' using the Python package 'authsec-langchain-sdk'. This application will serve as a tool for managing identities and delegations for LangChain agents, enabling secure interactions within a network. The application should include the following features:

1. User Registration: Allow users to register their identities using the 'authsec-langchain-sdk' for secure authentication.
2. Identity Verification: Implement a verification process where users can verify their identities through the SDK's CIBA (Client Initiated Backchannel Authentication) approval feature.
3. Delegation Management: Users should be able to manage delegations for their identities, allowing other agents to perform actions on their behalf under controlled conditions.
4. Access Control: Utilize the SDK's capabilities to enforce access control rules based on user identities and permissions.
5. Logging and Auditing: Maintain logs of all identity-related activities for auditing purposes.

The application should be designed with a modular architecture, making it easy to extend or modify its functionality in the future. Additionally, provide comprehensive documentation and examples demonstrating how to use the 'authsec-langchain-sdk' for each feature implemented in the application.

💬 Discussion Feed

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