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shramos/Awesome-Cybersecurity-Datasets resource

A curated list of amazingly awesome Cybersecurity datasets observed · 2026-08-28

github.com/shramos/Awesome-Cybersecurity-Datasets observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2926
  • days_rel: n/a
  • days_push: 914
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2072 stars · 345 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated awesome-list of cybersecurity datasets covering network traffic, malware, phishing, honeypots, and more. It serves as a reference index linking to datasets useful for security research and machine learning.

Use cases

  • find datasets for training intrusion detection models
  • download malware analysis datasets for research
  • get network traffic datasets for machine learning
  • find phishing and fraud datasets for security research
  • locate benchmark datasets for cybersecurity ML papers

When to choose

  • you need a starting point to discover cybersecurity datasets
  • you are doing security research or building ML models for threat detection

When to avoid

  • you need the datasets themselves rather than links to them
  • you need a maintained tool or library rather than a reference list

Facets

dataset · maturity active

security machine-learning data-science security machine-learning big-data cross-platform awesome-list cybersecurity-datasets network-traffic malware intrusion-detection curated-list

1 source

Member repositories

RepositoryRoleHealth v2
shramos/Awesome-Cybersecurity-Datasetsmain32

For agents

markdown · JSON · MCP: product_card(name="shramos/Awesome-Cybersecurity-Datasets")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem