Turn rules, patterns, and raw data into precision wordlists — in seconds, not scripts.
A wordlist is only as good as the logic behind it. wordlist-generator-tool is a standalone Windows utility built for security researchers, CTF players, sysadmins auditing password policy, and QA engineers fuzzing input fields. It replaces the usual pile of one-off scripts and half-remembered awk one-liners with a single deterministic engine: define your rules once, generate consistent, reproducible wordlists every time.
The domain has always had a gap between "quick and dirty" (a text file typed by hand) and "overkill" (full-blown mutation frameworks with a learning curve). This tool sits in between — a native, dependency-free binary that understands charsets, masks, Markov-style pattern learning, case permutations, leetspeak substitution, and combinator logic out of the box. No terminal required, no runtime to install, no config file to hand-edit.
It exists because wordlist generation shouldn't be a chore bolted onto a bigger toolkit. Whether you're building a targeted list from a company's naming conventions, generating brute-force candidate sets for password audits, or stress-testing form validation with structured junk data, this tool treats wordlist creation as a first-class task — fast, transparent, and fully under your control.
Tip
The landing page always ships the current build. Bookmark it — that's the only download source you need.
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Mask-driven generation — define character classes per position (
?l?l?l?d?d) and let the engine expand every combination without writing a single loop. -
Dictionary mutation engine — feed in a base wordlist and apply case toggling, leetspeak swaps, suffix/prefix injection, and reversal in one pass.
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Pattern learning from samples — point it at an existing corpus (names, slogans, leaked-style samples you own) and it infers structural patterns to extrapolate new candidates.
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Combinator mode — merge two or more lists (e.g. first names × years × symbols) into a cartesian-product wordlist with size estimation before you commit disk space.
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Smart deduplication — streaming dedupe keeps memory flat even on multi-gigabyte outputs; no more loading everything into RAM first.
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Rule-based filtering — enforce min/max length, required character classes, or regex exclusion so your output matches a target policy exactly.
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Live size estimator — see projected line count and file size before generation starts, so you don't accidentally fill your disk.
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Export flexibility — plain
.txt, gzip-compressed, or chunked into fixed-size files for tools with input limits.
Note
Every generation run is deterministic given the same seed and ruleset. Reproducibility is a feature, not an accident.
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Open the landing page (button above) and download the latest build.
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Run the executable — no installer, no admin prompt, no background service.
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Pick a mode: Mask, Mutation, Combinator, or Pattern Learn.
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Set your output path, hit Generate, and watch the live counter climb.
Important
Windows may flag the first launch with a SmartScreen prompt because the binary is unsigned. Click "More info → Run anyway." This is normal for small independent tools.
| Component | Requirement |
|---|---|
| OS | Windows 10 or Windows 11 (64-bit) |
| RAM | 4 GB minimum, 8 GB recommended for large combinator jobs |
| Disk | Depends on output size — estimator warns before write |
| Dependencies | None — fully standalone, no runtime install |
| Internet | Not required after download |
The pipeline is intentionally linear — no hidden background processing, no telemetry calls, no surprise steps.
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Input — you define a mask, load a base list, or select a sample corpus.
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Rule parsing — the engine validates your ruleset and estimates output size.
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Generation — combinations are streamed, not buffered, keeping memory usage predictable.
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Filtering — length, charset, and regex rules trim the stream in real time.
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Export — results write directly to disk in your chosen format.
flowchart LR
Input --> Rules --> Generate --> Filter --> Export
Q: Generation stopped mid-way with no error. A: Check disk space — the estimator warns you, but external factors (antivirus quarantine, full drive) can still interrupt writes.
Q: My combinator job estimates a 40 GB file. Is that normal? A: Yes — cartesian products grow fast. Narrow your input lists or add length filters before generating.
Q: Pattern Learn mode produces repetitive results. A: Your sample corpus is likely too small or too uniform. Feed it a larger, more varied sample set for richer pattern extraction.
Q: Windows Defender flagged the executable. A: Common with unsigned indie tools. Verify the download came from the official landing page, then allow it manually.
Q: Can I resume an interrupted generation? A: Not currently — chunked export mitigates this by writing completed segments incrementally, so partial progress isn't fully lost.
Q: The app window looks blurry on my 4K monitor. A: Enable high-DPI scaling override in Settings → Display, or right-click the executable → Properties → Compatibility.
Keyboard shortcuts
| Shortcut | Action |
|---|---|
Ctrl+G |
Start generation |
Ctrl+S |
Save current ruleset |
Ctrl+O |
Load ruleset or sample file |
Esc |
Cancel active job |
Ctrl+E |
Export estimate report |
Themes & settings
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Dark and light themes, switchable without restart.
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Adjustable buffer size for streaming generation (trade RAM for speed).
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Optional sound cue on job completion.
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Persistent last-used ruleset across sessions.
Warning
Disabling the size estimator (Settings → Advanced) removes the pre-generation safety check. Only turn this off if you're confident in your ruleset.
Bug reports, ruleset ideas, and mask syntax suggestions are all welcome via Issues. Pull requests should target a single change — new export format, new mask token, one bugfix — to keep review fast.
Discussions tab is the right place for ruleset design questions — Issues are for bugs and concrete feature requests.
Released under the MIT License, 2026.
This tool generates text data based on user-defined rules. Use it only on systems, accounts, and data you own or have explicit authorization to test. The maintainers assume no responsibility for misuse.
v2026.2 — Added chunked export, streaming dedupe rewrite, dark theme polish.
v2026.1 — Introduced Pattern Learn mode, live size estimator, regex filtering.
v2026.0 — Initial public release: mask engine, mutation engine, combinator mode.