metadata
language:
- en
license: gpl-2.0
task_categories:
- text-generation
tags:
- cybersecurity
- application-security
- bug-bounty
- pentest
- thinking
- reasoning
- tool-calling
- jsonl
- qwen
size_categories:
- 1K<n<10K
OffsecCyber-Thinking — reasoning-optimized web-security SFT
A thinking-mode supervised fine-tuning set for web application security / bug-bounty models (Qwen3-style <think> + tool-calling). Reasoning-dominant and grounded: CVE-metadata recitation was deliberately dropped to reduce hallucination.
Composition (9,417 records)
| grounding | count | source |
|---|---|---|
| grounded | 4,001 | Exploit-DB verified webapps, PoC extracted from the real exploit files |
| authored_curated | 2,500 | offensive/web-appsec instruction data |
| real_report | 2,000 | HackerOne-style reports |
| authored | 643 | synthetic tail-class + modern-stack + negatives (think + tool-calling) |
| grounded_lab | 273 | PortSwigger labs |
<think>share: 49% · negatives: 7.5% · tool-calling trajectories included.- Splits: train 8,475 / valid 470 / test 472, leakage-safe (grouped by CVE/EDB/report-id/hash), 0 cross-split leaks, 0 fabricated/forward CVEs, near-dup ≤3/template.
- Each record tags
metadata.grounding / license / provenance / has_think / is_negative / cvss_source / tool_output.
⚠️ Use in production (read before training/deploying)
This set trains reasoning and judgment, not a fact oracle. To avoid hallucination:
- RAG for facts — CVSS is estimated, not authoritative; CVE recall is unreliable at ≤8B. Supply CVE/CVSS/version truth from NVD/GHSA at inference.
- Real tools, never invented output —
metadata.tool_output="simulated"marks learned tool results; execute tools for real in production. - Human-in-the-loop on exploitation — PoCs are drafts to verify in a sandbox.
License / provenance (IMPORTANT)
Mixed provenance, tagged per record in metadata.license:
GPL-2.0-or-later(4,001, provenance=exploit-db) — the card license reflects this (most restrictive).review-upstream(4,773, h1/portswigger/web_offensive) — confirm each upstream source's terms before redistribution.synthetic-authored(643) — project-authored.
For a closed-source product: training is generally permissible, but redistribution of GPL-derived data/weights can carry obligations — get legal review, or train a shippable model on the non-GPL (provenance != exploit-db) subset.
🤖 Generated with Claude Code