offensive-ai
PulseGate's liveness check found it on 5 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 4 Sep 2026. How this is checked
offensive-ai is an MIT-licensed offensive-security toolkit distributed as a Python package and CLI. It supports port scanning, WAF and certificate analysis, API and authentication testing, AI/LLM and MCP endpoint probing, and blockchain node and smart-contract assessment.
Inferred · not functionally tested
Overview
6 featuresPurpose: Security teams need to identify vulnerabilities across network services, APIs, authentication systems, AI endpoints, and blockchain infrastructure.
Inferred · not functionally tested
Audience: security engineers and penetration testers
Inferred · not functionally tested
Functions: monitoring, data_extraction
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
offensive-ai is a Penetration testing & red teaming project. Inferred · not functionally tested: Security teams need to identify vulnerabilities across network services, APIs, authentication systems, AI endpoints, and blockchain infrastructure. Inferred · not functionally tested: offensive-ai is an open-source project aimed at security engineers and penetration testers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
It is developed by htunn, and it first shipped in 2025. Development happens publicly on GitHub with 31 stars and 52 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Port Scanning, WAF Detection, and Certificate Analysis. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Port Scanning
- WAF Detection
- Certificate Analysis
- mTLS Testing
- OWASP Testing
- LLM Probing
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed4 Sep · 16:44 UTCoffensive-ai seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about offensive-ai
- What is offensive-ai?
- Inferred · not functionally tested: Security teams need to identify vulnerabilities across network services, APIs, authentication systems, AI endpoints, and blockchain infrastructure. It is catalogued under Penetration testing & red teaming on PulseGate.
- Who should use offensive-ai?
- Inferred · not functionally tested: offensive-ai is an open-source project built for security engineers and penetration testers.
- Does offensive-ai have a free plan?
- Basis unknown · not verified: Yes — offensive-ai is open source under the MIT license and free to use.
- What platforms does offensive-ai run on?
- Basis unknown · not verified: offensive-ai runs on the command line. It can also be self-hosted.
- Is offensive-ai still active?
- PulseGate's liveness check found it on 5 Oct 2026. Its GitHub repository shows 52 commits in the last 90 days.
- Who makes offensive-ai?
- offensive-ai is developed by htunn.
- How long has offensive-ai been around?
- offensive-ai first shipped in 2025.
- Is offensive-ai open source?
- Basis unknown · not verified: Yes — offensive-ai is open source under the MIT license, developed on GitHub.
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