# ptresearch/AttackDetection

Attack Detection

Repository: https://github.com/ptresearch/AttackDetection
Canonical: https://ross.abutalabs.com/products/attackdetection
License: NOASSERTION
License Family: other
Archived: true
Last push: 2022-08-31T09:26:21+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3814, "days_push": 1463, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1357, forks 354 (observed 2026-08-28T04:04:29.509737+00:00)

## What it is
A collection of Suricata IDS rules, PoC exploits, and network traffic samples from Positive Technologies' Attack Detection Team. The ruleset targets detection of vulnerabilities, 0-days, malware, and attacker TTPs at the network layer.

## Use cases
- detect network exploitation attempts with suricata rules
- find ids rules for known cves and 0-days
- get pcap traffic samples to test intrusion detection
- improve network-layer detection of malware c2 traffic
- reproduce vulnerabilities and verify detection coverage

## When to choose
- you run Suricata and want community rules covering recent vulnerabilities and attacker TTPs
- you need PoC exploits and traffic samples to validate IDS coverage
- you research network-based detection of exploits and malware

## When to avoid
- you use an IDS other than Suricata without rule conversion
- you need a supported, SLA-backed commercial ruleset
- you want endpoint rather than network detection

## Facets
- artifact type: dataset
- maturity: maintenance
- function: security, monitoring, vulnerability-scanning
- domain: security, penetration-testing, networking
- platform: self-hosted
- tags: suricata, intrusion-detection, network-detection, ids-rules, poc-exploits, threat-detection, pcap-samples, linux

## Member repositories
- ptresearch/AttackDetection (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.509737+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 2026-08-30T04:41:51.538827+00:00, confidence not recorded.
  - readme: https://github.com/ptresearch/AttackDetection (fetched 2026-08-28T04:04:29.509737+00:00, sha 2e400f5f5aaa)
- Data as of 2026-08-30T08:39:29.467469+00:00.