Skip to main content

Security scanner for AI agent workflows - find vulnerabilities in LangChain, CrewAI, and other agent frameworks

Project description

igris

Security scanner for AI agent workflows.

Find vulnerabilities in LangChain, CrewAI, OpenAI Agents SDK, and other AI agent frameworks before attackers do.

PyPI License: MIT

What It Does

igris connects to running AI agents and tests them for security vulnerabilities:

  • Prompt Injection — Can attackers override the agent's instructions?
  • System Prompt Extraction — Can attackers leak the agent's configuration?
  • Jailbreaks — Can attackers bypass safety guardrails?
  • Tool Abuse — Can attackers make the agent misuse its tools?
  • Multi-Turn Escalation — Can attackers manipulate the agent over conversation?

Quick Start

# Install
pip install igris

# Scan an agent
igris scan --http http://localhost:8000/chat

# Map agent capabilities
igris map --http http://localhost:8000/chat

Example Output

🔒 Scan Starting
Target: http://localhost:8000/chat
✓ Connected successfully

Discovering agent capabilities...
File Access:      ✓
Code Execution:   ✓
Web Access:       ✗
Memory:           ✓

Running security scans...

🚨 Found 4 Vulnerabilities
Critical: 1  High: 2  Medium: 1  Low: 0

┏━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━┓
┃ Severity ┃ Title                    ┃ Category         ┃ Confidence ┃
┡━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━┩
│ CRITICAL │ Dangerous Tool Execution │ tool_abuse       │ confirmed  │
│ HIGH     │ System Prompt Extraction │ prompt_injection │ likely     │
│ HIGH     │ Multi-Turn Escalation    │ multi_turn       │ confirmed  │
│ MEDIUM   │ Potential Override       │ prompt_injection │ possible   │
└──────────┴──────────────────────────┴──────────────────┴────────────┘

Installation

pip install igris

Or with AI-powered analysis:

pip install igris[ai]

Usage

Scan an Agent

# Basic scan
igris scan --http http://localhost:8000/chat

# With authentication
igris scan --http https://api.example.com/agent --auth "Bearer sk-xxx"

# Save report
igris scan --http http://localhost:8000/chat --output report.json

# Verbose output
igris scan --http http://localhost:8000/chat --verbose

Map Agent Architecture

# Discover what the agent can do
igris map --http http://localhost:8000/chat

Supported Frameworks

igris works with any AI agent that exposes an HTTP endpoint:

  • ✅ LangChain / LangGraph
  • ✅ CrewAI
  • ✅ OpenAI Agents SDK
  • ✅ AutoGen
  • ✅ Custom agents

Why igris?

Traditional security tools test code. igris tests behavior.

AI agents make decisions at runtime. They interpret instructions, choose tools, and act on user input. Static analysis can't find these bugs — you need to actually talk to the agent and see what it does.

igris does exactly that: sends adversarial inputs, observes agent behavior, and reports when the agent does something dangerous.

From the Creator of mcpsec

igris is built by the creator of mcpsec, which has reported 12+ vulnerabilities ranging from Medium to Critical severity in popular MCP implementations.

Same approach, one layer up: mcpsec tests MCP servers (the transport layer), igris tests agent workflows (the orchestration layer).

License

MIT

Author

Manthan Ghasadiya

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

igris-0.2.3.tar.gz (36.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

igris-0.2.3-py3-none-any.whl (40.3 kB view details)

Uploaded Python 3

File details

Details for the file igris-0.2.3.tar.gz.

File metadata

  • Download URL: igris-0.2.3.tar.gz
  • Upload date:
  • Size: 36.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for igris-0.2.3.tar.gz
Algorithm Hash digest
SHA256 7ceb2a7fa883cc472d9e1c165528da69774693ca4016ab6f021619b8a2c418fa
MD5 539ae6d815dc09536a97a0bfefc47c27
BLAKE2b-256 562011f603187e18c1083dc4e771870019ae99edbbcb2c49ab9d0a59b2f0e2c4

See more details on using hashes here.

File details

Details for the file igris-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: igris-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 40.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.12

File hashes

Hashes for igris-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 6510544bbf25b02bf1934e2848e472e8f69776815289b1ff570dfb78d1c65b57
MD5 3cada85e3bc02babc346ed21627566fa
BLAKE2b-256 faf7ccd3fa55aaf8da8a0ec22691997cf2bbc63108604a1a36a21109ff40486d

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page