# NoDataFound/hackGPT

I leverage OpenAI and ChatGPT to do hackerish things

Repository: https://github.com/NoDataFound/hackGPT
Canonical: https://ross.abutalabs.com/products/hackgpt
Homepage: http://hackGPT.com
Language: Jupyter Notebook
License Family: other
Topics: malware, malwareanalysis, managers, openai, chatbot, chatgpt, chatgpt-api, chatgpt3, openai-api, python, chatgpt-app, chatgpt-python, chatgpt4
Last push: 2026-08-12T20:44:09+00:00

## Health v2 (maintenance only)
Score: 75/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 97, release rhythm 35, longevity 97
- inputs: {"age_days": 1369, "days_push": 21, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1202, forks 301 (observed 2026-08-28T04:03:58.514903+00:00)

## What it is
hackGPT is a Python/Jupyter-based chatbot application that leverages OpenAI and ChatGPT APIs for security-oriented tasks like malware analysis, threat data parsing, and vulnerability research. It can be run locally, in Google Colab, or via a hosted web app, and integrates with tools like JIRA and SecurityScorecard APIs.

## Use cases
- analyze malware samples with chatgpt
- parse  threat data from security tools
- automate jira bug triage with ai
- run a hacker chatbot in google colab
- use openai for vulnerability research
- integrate chatgpt into security workflows

## When to avoid
- you need a production-grade, licensed security tool
- you require guaranteed accuracy for security decisions
- you cannot send sensitive security data to OpenAI APIs

## Facets
- artifact type: application
- maturity: experimental
- function: chatbot, llm-inference, agent-framework, nlp
- domain: security, artificial-intelligence, large-language-models, chatbots, penetration-testing
- platform: python, cli
- tags: openai, chatgpt, hacking, threat-analysis, jupyter-notebook, malware-analysis, security-automation, web-server

## Member repositories
- NoDataFound/hackGPT (main) score 75

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:58.514903+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:20:34.422069+00:00, confidence not recorded.
  - readme: https://github.com/NoDataFound/hackGPT (fetched 2026-08-28T04:03:58.514903+00:00, sha ef490be18f5c)
- Data as of 2026-08-30T08:39:29.467469+00:00.