README.md

metadata

pretty_name: OffSec RedTeam Info
license: other
task_categories:
  - text-generation
  - text-retrieval
  - text-ranking
  - feature-extraction
  - sentence-similarity
  - question-answering
  - summarization
language:
  - en
tags:
  - security
  - red-team
  - redteam
  - offensive-security
  - offsec
  - pentesting
  - penetration-testing
  - osint
  - dfir
  - threat-intel
  - cloud-security
  - kubernetes
  - active-directory
  - malware-analysis
  - reversing
  - training-blogs
  - websecurity
  - web-security
  - dataset
  - jsonl
  - parquet
  - cybersecurity
  - cyber-security
size_categories:
  - 1M<n<10M
configs:
  - config_name: ad_ops
    data_files:
      - split: train
        path: ad_ops/train-*
  - config_name: binary_exploitation
    data_files:
      - split: train
        path: binary_exploitation/train-*
  - config_name: c2_tradecraft
    data_files:
      - split: train
        path: c2_tradecraft/train-*
  - config_name: cloud_redteam
    data_files:
      - split: train
        path: cloud_redteam/train-*
  - config_name: core_wikis
    data_files:
      - split: train
        path: core_wikis/train-*
  - config_name: dfir_detection
    data_files:
      - split: train
        path: dfir_detection/train-*
  - config_name: ics_scada
    data_files:
      - split: train
        path: ics_scada/train-*
  - config_name: kubernetes_container
    data_files:
      - split: train
        path: kubernetes_container/train-*
  - config_name: linux_unix
    data_files:
      - split: train
        path: linux_unix/train-*
  - config_name: mobile_wireless
    data_files:
      - split: train
        path: mobile_wireless/train-*
  - config_name: osint_recon
    data_files:
      - split: train
        path: osint_recon/train-*
  - config_name: password_cracking
    data_files:
      - split: train
        path: password_cracking/train-*
  - config_name: phishing_se
    data_files:
      - split: train
        path: phishing_se/train-*
  - config_name: reversing_malware
    data_files:
      - split: train
        path: reversing_malware/train-*
  - config_name: threat_intel
    data_files:
      - split: train
        path: threat_intel/train-*
  - config_name: training_blogs
    data_files:
      - split: train
        path: training_blogs/train-*
  - config_name: web_app
    data_files:
      - split: train
        path: web_app/train-*
  - config_name: windows_privesc
    data_files:
      - split: train
        path: windows_privesc/train-*
dataset_info:
  - config_name: ad_ops
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 90620904
        num_examples: 13277
    download_size: 37244413
    dataset_size: 90620904
  - config_name: binary_exploitation
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 47008528
        num_examples: 3079
    download_size: 22074655
    dataset_size: 47008528
  - config_name: c2_tradecraft
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 2834407
        num_examples: 554
    download_size: 1327232
    dataset_size: 2834407
  - config_name: cloud_redteam
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 2547733802
        num_examples: 270351
    download_size: 900519483
    dataset_size: 2547733802
  - config_name: core_wikis
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 368030997
        num_examples: 44160
    download_size: 82175469
    dataset_size: 368030997
  - config_name: dfir_detection
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 541381934
        num_examples: 90481
    download_size: 191197045
    dataset_size: 541381934
  - config_name: ics_scada
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 243297943
        num_examples: 26862
    download_size: 88171425
    dataset_size: 243297943
  - config_name: kubernetes_container
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 555091963
        num_examples: 63232
    download_size: 210104862
    dataset_size: 555091963
  - config_name: linux_unix
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1045679383
        num_examples: 89682
    download_size: 388247604
    dataset_size: 1045679383
  - config_name: mobile_wireless
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1007349882
        num_examples: 95645
    download_size: 315184952
    dataset_size: 1007349882
  - config_name: osint_recon
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 2351643
        num_examples: 850
    download_size: 1085598
    dataset_size: 2351643
  - config_name: password_cracking
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 340784203
        num_examples: 141474
    download_size: 116324635
    dataset_size: 340784203
  - config_name: phishing_se
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 374751470
        num_examples: 25199
    download_size: 127489943
    dataset_size: 374751470
  - config_name: reversing_malware
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1086556625
        num_examples: 156629
    download_size: 444408093
    dataset_size: 1086556625
  - config_name: threat_intel
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1283368209
        num_examples: 204353
    download_size: 441308074
    dataset_size: 1283368209
  - config_name: training_blogs
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 222311513
        num_examples: 18974
    download_size: 103640197
    dataset_size: 222311513
  - config_name: web_app
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 1350432930
        num_examples: 202902
    download_size: 481909682
    dataset_size: 1350432930
  - config_name: windows_privesc
    features:
      - name: text
        dtype: string
      - name: meta
        struct:
          - name: url
            dtype: string
          - name: title
            dtype: string
          - name: source
            dtype: string
          - name: category
            dtype: string
          - name: timestamp
            dtype: string
          - name: language
            dtype: string
    splits:
      - name: train
        num_bytes: 27421179
        num_examples: 5747
    download_size: 13600773
    dataset_size: 27421179

OffSec RedTeam Info

OffSec RedTeam Info is a SlimPajama‑style, category‑organized corpus of security knowledge text crawled from reputable red‑team/blue‑team websites: wikis, training blogs, vendor research, CERT advisories, reversing/malware labs, cloud/kubernetes posts, OSINT handbooks, AD tradecraft, and more.

Token count: ~1.646B tokens.

⚠️ Ethical use only. Use for research, education, and defensive security. Respect robots.txt, site terms, and copyrights. Do not misuse this corpus to harm systems or violate laws.

---

What’s new (Nov 2025)

• Per‑category Parquet configs published for fast streaming via datasets.load_dataset(...).
• raw/** JSONL** kept alongside Parquet for reproducibility and low‑level processing.
• Consistent schema across all categories (see below) with required text and meta keys.
• Balanced shard sizes (≈256–512 MB) to keep memory steady during load & push.

---

Repository layout

/                          # dataset root (this card lives here as README.md)
  raw/                     # line-delimited JSON for each category (post-clean)
    <category>.jsonl       # e.g., raw/ad_ops.jsonl
  <category>/              # per-category Parquet config (train split)
    <category>.parquet     # e.g., ad_ops/ad_ops.parquet

Parquet is present for non‑empty categories. Some categories may be JSONL‑only depending on the snapshot.

---

Categories

• core_wikis – foundational red‑team/blue‑team references (ATT&CK, CAPEC/CWE, GTFOBins, LOLBAS, PayloadsAllTheThings, etc.).
• web_app – OWASP content, web vulns, API security, web‑sec blogs.
• training_blogs – walkthroughs, labs, CTF‑style posts and methodology.
• ad_ops – Active Directory/Windows internals, abuse paths, domain tradecraft.
• windows_privesc, linux_unix – OS‑specific privilege escalation & hardening.
• cloud_redteam, kubernetes_container – cloud & container security.
• osint_recon, phishing_se – OSINT techniques, social engineering.
• c2_tradecraft – C2 techniques, operator tradecraft (defensive write‑ups included).
• mobile_wireless – mobile, Wi‑Fi/Bluetooth/802.11 and radio‑adjacent topics.
• ics_scada – industrial control systems / OT security.
• reversing_malware – reversing & malware analysis posts from labs and vendors.
• binary_exploitation – pwn, exploitation notes, vuln research.
• password_cracking – hashcat/john guides, NIST/NCSC guidance.
• dfir_detection – incident response, detection engineering, Sigma, DFIR reports.
• threat_intel – vendor TI, advisories, newsroom items with technical depth.

Exact category availability depends on the current revision (feeds change; some snapshots may be sparser).

---

Schema (UPDATED)

Each record follows exactly this structure:

{
  "text": "<cleaned article/content text>",
  "meta": {
    "url": "https://example.com/path",
    "title": "<page title>",
    "source": "example.com",
    "category": "ad_ops",
    "timestamp": "2025-11-02T22:21:39.384421+00:00",
    "language": "en"
  }
}

Field definitions

• text (string) — cleaned article/content text (readability‑style extraction, normalized whitespace).

• meta (object) — metadata container with the following keys:

  • url (string) — canonical URL of the item.
  • title (string|null) — page title.
  • source (string|null) — site/domain the content came from (e.g., www.semperis.com).
  • category (string) — logical bucket matching the config name (e.g., ad_ops).
  • timestamp (string, ISO‑8601) — fetch/process time for the item.
  • language (string) — language code (e.g., en).

The sample you shared from Semperis conforms to this schema.

---

Load examples

Load a single category (Parquet, recommended)

from datasets import load_dataset

REPO = "tandevllc/offsec_redteam_info"
cat = "web_app"  # pick any listed config

ds = load_dataset(REPO, name=cat, split="train")
print(len(ds), ds.column_names[:6])
print(ds[0]["text"][:400])
print(ds[0]["meta"]["url"])  # access metadata

Load multiple categories and interleave

from datasets import load_dataset, interleave_datasets

REPO = "tandevllc/offsec_redteam_info"
names = ["core_wikis", "training_blogs", "threat_intel"]
parts = [load_dataset(REPO, name=n, split="train") for n in names]

# Uniform interleave (good for blended training/eval)
blend = interleave_datasets(parts, probabilities=[1/len(parts)]*len(parts), seed=42)

Filter typical research slices

# Keep only long English articles
long_en = ds.filter(lambda r: (r.get("text") and len(r["text"]) > 1200) and ((r.get("meta") or {}).get("language") == "en"))

# Narrow to a specific source/domain
from_portswigger = ds.filter(lambda r: ((r.get("meta") or {}).get("source") or "").endswith("portswigger.net"))

Load raw JSONL

from datasets import load_dataset

raw = load_dataset(
    "json",
    data_files="raw/web_app.jsonl",
    repo_id="tandevllc/offsec_redteam_info",
    split="train",
)

---

Cleaning & quality (high level)

• Content extracted with readability‑style heuristics; multi‑block merge when the best block is short.
• Basic quality gates: minimum words/sentences, alpha‑fraction, optional index‑page filtering by link density.
• Normalization: canonicalized URLs, per‑category dedup by link/content hash (some snapshots may apply global dedup).
• Non‑content and noisy paths avoided (search, feeds, asset dirs, etc.).

These heuristics favor clean prose and technical material, but may still include boilerplate or miss embedded code blocks.

---

Intended uses

• Pretraining / continued pretraining of security‑aware language models.
• RAG / retrieval over current security references and blogs, by category/site.
• Evaluation of security knowledge, extraction, summarization, and long‑context QA.
• Trend analysis across sources (pair with timestamps when present).

This dataset is not a CVE ground‑truth database and does not replace vendor advisories.

---

Limitations & caveats

• Copyrights & terms apply. Underlying website content retains the publisher’s license/terms.
• Temporal drift. Websites change; snapshots may vary; links can rot.
• Extraction noise. Readability may omit figures/code or include navigation text.
• Metadata sparsity. Some fields are missing for certain sources.

---

License & access

License: "TanDev Proprietary License — All Rights Reserved"

Underlying content: remains under each site’s terms. For conservative use, store only links and your own embeddings/summaries.

Commercial usage: A paid TanDev Commercial License is available for commercial training/inference and internal derivatives. Contact smridh@tandev.us with organization, intended use, and deployment details.

Takedowns: If you own content included here and want it removed, please open an issue or email the maintainer.

---

Citation

@dataset{tandevllc_2025_offsec_redteam_info,
  author = {Gupta, Smridh},
  title  = {OffSec RedTeam Info},
  year   = {2025},
  url    = {https://huggingface.co/datasets/tandevllc/offsec_redteam_info}
}

---

Maintainer

Smridh Gupta — smridh@tandev.us