# shramos/Awesome-Cybersecurity-Datasets

A curated list of amazingly awesome Cybersecurity datasets

Repository: https://github.com/shramos/Awesome-Cybersecurity-Datasets
Canonical: https://ross.abutalabs.com/products/awesome-cybersecurity-datasets
License Family: other
Topics: data, datasets, learning, security, cybersecurity, attack, malware, dataframe, traffic, logs, events, machinelearning, deep, deeplearning, ids, ips
Last push: 2024-03-02T22:06:16+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": 2926, "days_push": 914, "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 2072, forks 345 (observed 2026-08-28T04:06:10.494916+00:00)

## What it is
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
- artifact type: dataset
- maturity: active
- function: security, machine-learning, data-science
- domain: security, machine-learning, big-data
- platform: cross-platform
- tags: awesome-list, cybersecurity-datasets, network-traffic, malware, intrusion-detection, curated-list

## Member repositories
- shramos/Awesome-Cybersecurity-Datasets (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:10.494916+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 2026-08-30T02:56:41.721465+00:00, confidence not recorded.
  - readme: https://github.com/shramos/Awesome-Cybersecurity-Datasets (fetched 2026-08-28T04:06:10.494916+00:00, sha 2435719d1c18)
- Data as of 2026-08-30T08:39:29.467469+00:00.