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sl4de/basilisk-webpentest

published by @sl4de

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads
128
Last 30 days
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Size
11.1 MB
Created on HF
2026-08-31
Age
1 months ago

Description

Basilisk WebPentest Dataset

Instruction‑tuning data for web penetration testing, used to train sl4de/Basilisk-7B.

Direct, uncensored expert answers (payloads, PoCs, tool commands, reports) for authorized security testing and education.

Files

File

Records

Domains

basilisk_v0.jsonl

2,999

SQLi, XSS, Recon

basilisk_v1.jsonl

8,054

19 (v0 + SSRF, XXE, deserialization, auth/JWT, access control, API, SSTI, LFI, CSRF, CORS, request smuggling, prototype… See the full description on the dataset page: https://huggingface.co/datasets/sl4de/basilisk-webpentest.

Tags

task_categories:text-generationlanguage:enlicense:mitsize_categories:10K<n<100Kformat:jsonmodality:textlibrary:datasetslibrary:dasklibrary:polarslibrary:mlcroissantregion:uscybersecuritypenetration-testingsecurityoffensive-security

README current version from Hugging Face


license: mit
task_categories:

  • text-generation
    language:
  • en
    tags:
  • cybersecurity
  • penetration-testing
  • security
  • offensive-security
    size_categories:
  • 1K<n<10K

Basilisk WebPentest Dataset

Instruction‑tuning data for web penetration testing, used to train sl4de/Basilisk-7B.
Direct, uncensored expert answers (payloads, PoCs, tool commands, reports) for authorized security testing and education.

Files

File Records Domains
basilisk_v0.jsonl 2,999 SQLi, XSS, Recon
basilisk_v1.jsonl 8,054 19 (v0 + SSRF, XXE, deserialization, auth/JWT, access control, API, SSTI, LFI, CSRF, CORS, request smuggling, prototype pollution, race conditions, cache poisoning, open redirect, file upload)

Format

JSON Lines; one example per line, in chat‑message form:

{"messages":[
  {"role":"system","content":"You are a senior web penetration testing expert ..."},
  {"role":"user","content":"MySQL login form, the username field is injectable. Give me an auth bypass payload."},
  {"role":"assistant","content":"Closing the string and commenting out the rest drops the password check. Payload: admin'-- -"}
],"meta":{"domain":"sqli","type":"payload","difficulty":"easy"}}

meta.domain / type (payload | explain | tool | report | multiturn) / difficulty (easy | med | hard) is for curation only; it is not fed to the model. Example secrets/keys are placeholders (EXAMPLE), not real credentials.

Notes

Synthesized with a strong teacher model and validated (JSON schema, deduplication, refusal and language checks). Content is in English.

Disclaimer

For authorized penetration testing, CTF practice, security research, and education only. You are responsible for complying with all applicable laws.

License

MIT © sl4de

README history 4 revisions

Every night we snapshot the README of every dataset in the catalog. When the SHA changes we archive the new version and diff it against the last. This is the evolving thought record of the alignment-data field: what the author decided to say about the corpus, and how that framing shifted over time.

  1. 2026-08-31Upload basilisk_v1.jsonl with huggingface_hub7baa8de1.8 KB
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  2. 2026-08-31Upload basilisk_v0.jsonl with huggingface_hub13533581.8 KB
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  3. 2026-08-31Upload README.md with huggingface_hube776a6e1.8 KB
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  4. 2026-08-31initial commitb6c93c90 B
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Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

Community discussions 1 thread · 1 open · 1 comments

Threads posted by the community on Hugging Face: bug reports, questions about usage, pull requests on the README, license clarifications. Click any thread to expand and read the full conversation inline. Newest first.

  1. 2026-09-01[bot] Conversion to Parquetopen1 💬#1
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Read further

Metadata

License
mit

Repository

Download the dataset

0

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)
from datasets import load_dataset
ds = load_dataset("sl4de/basilisk-webpentest")
Raw snapshot (Python)
from huggingface_hub import snapshot_download
snapshot_download(repo_id="sl4de/basilisk-webpentest", repo_type="dataset")
git clone (requires git-lfs)
git clone https://huggingface.co/datasets/sl4de/basilisk-webpentest
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