# osirislab/Hack-Night

Hack Night is an open weekly training session run by the OSIRIS lab.

Repository: https://github.com/osirislab/Hack-Night
Canonical: https://ross.abutalabs.com/products/hack-night
Language: Python
License Family: other
Last push: 2024-04-05T02:11:57+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4853, "days_push": 881, "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 1273, forks 261 (observed 2026-08-28T04:04:12.344659+00:00)

## What it is
Hack Night is the open-source curriculum for NYU Tandon OSIRIS Lab's weekly thirteen-week offensive security training course. It provides lecture slides, exercises, and resources covering topics like code auditing, web security, and penetration testing.

## Use cases
- learn offensive security from scratch
- self-study penetration testing fundamentals
- run a university hacking course or security club
- prepare for CTF competitions
- teach web application security and code auditing
- find structured weekly security training materials

## When to choose
- you want a free, structured multi-week introduction to offensive security
- you are an instructor building a security curriculum
- you are a student or beginner preparing for CTFs and security coursework

## When to avoid
- you need production security tooling rather than educational material
- you want a formal license to reuse the content commercially
- you need hands-on labs with automated grading or a hosted platform

## Facets
- artifact type: learning-resource
- maturity: active
- function: penetration-testing, security, developer-tools
- domain: security, penetration-testing, education, tutorials
- platform: cross-platform
- tags: offensive-security, ctf, hacking-course, curriculum, vulnerability-analysis, web-security, code-auditing

## Member repositories
- osirislab/Hack-Night (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:12.344659+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 2026-08-30T05:03:13.493116+00:00, confidence not recorded.
  - readme: https://github.com/osirislab/Hack-Night (fetched 2026-08-28T04:04:12.344659+00:00, sha c63b16c258ad)
- Data as of 2026-08-30T08:39:29.467469+00:00.