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Comprehensive DLP evasion test suite — scanner-agnostic, file-aware

Project description

evadex

A scanner-agnostic DLP evasion test suite. evadex generates hundreds of obfuscated variants of known-sensitive values and submits them to your DLP scanner to find what slips through — including through file extraction pipelines (DOCX, PDF, XLSX), not just plain-text API calls.

Built with dlpscan as the default target, with a clean adapter interface for testing any DLP tool.


What it does

evadex takes a sensitive value (a credit card number, SSN, AWS key, etc.), runs it through every evasion technique it knows — unicode tricks, delimiter manipulation, encoding variants, regional digit scripts, homoglyphs, and more — and records which variants your scanner catches and which it misses.

Evasion categories:

Generator Techniques
unicode_encoding Zero-width chars, fullwidth digits, homoglyphs, NFD/NFC/NFKC/NFKD normalization, HTML entities (decimal + hex), URL encoding (full, digits-only, mixed)
delimiter Space, hyphen, dot, slash, tab, newline, mixed, doubled, none
splitting Mid-value line break, HTML/CSS comment injection, prefix/suffix noise, JSON field split, whitespace padding, XML wrapping
leetspeak Minimal, moderate, and aggressive substitution tiers
regional_digits Arabic-Indic, Extended Arabic-Indic, Devanagari, Bengali, Thai, Myanmar, Khmer, Mongolian, NKo, Tibetan — plus mixed-script variants
structural Left/right padding (spaces + zeros), noise embedding, partial values, case variation, repeated value
encoding Base64 (standard, URL-safe, no-padding, MIME line-breaks, partial, double), ROT13, full/group reversal, double URL encoding, mixed NFD/NFC/NFKD normalization

Submission strategies (for dlpscan-cli adapter):

Each variant is tested four ways by default: as plain text, embedded in a DOCX, embedded in a PDF, and embedded in an XLSX. This exercises your scanner's file extraction pipeline, not just its regex layer.

Built-in test payloads:

Label Value
Visa 16-digit 4532015112830366
Amex 15-digit 378282246310005
Mastercard 16-digit 5105105105105100
US SSN 123-45-6789
Canada SIN 046 454 286
UK IBAN GB82WEST12345698765432
AWS Access Key ID AKIAIOSFODNN7EXAMPLE
Sample JWT (compact JWT string)
Email address test.user@example.com
US phone number +1-555-867-5309

Installation

Requires Python 3.10+.

pip install evadex

Or install from source:

git clone https://github.com/tbustenk/evadex
cd evadex
pip install -e ".[dev]"

Quick start

Run the full built-in suite against dlpscan (text strategy):

evadex scan --tool dlpscan-cli --strategy text

Test a single value:

evadex scan --tool dlpscan-cli --input "4532015112830366" --strategy text

Test with all file strategies (slower — exercises DOCX/PDF/XLSX extraction):

evadex scan --tool dlpscan-cli --input "4532015112830366"

Generate an HTML report:

evadex scan --tool dlpscan-cli --strategy text --format html -o report.html

Example output

Terminal summary

Running evadex scan against dlpscan-cli at http://localhost:8080...
Done. 501 tests — 425 detected, 76 evaded

JSON output (--format json, default)

{
  "meta": {
    "timestamp": "2026-04-01T22:01:36.172424+00:00",
    "total": 501,
    "pass": 425,
    "fail": 76,
    "error": 0,
    "pass_rate": 84.8,
    "summary_by_category": {
      "credit_card": { "pass": 150, "fail": 9,  "error": 0 },
      "ssn":         { "pass": 51,  "fail": 2,  "error": 0 },
      "sin":         { "pass": 51,  "fail": 2,  "error": 0 },
      "iban":        { "pass": 49,  "fail": 6,  "error": 0 },
      "aws_key":     { "pass": 27,  "fail": 19, "error": 0 },
      "jwt":         { "pass": 25,  "fail": 22, "error": 0 },
      "email":       { "pass": 21,  "fail": 14, "error": 0 },
      "phone":       { "pass": 51,  "fail": 2,  "error": 0 }
    }
  },
  "results": [
    {
      "payload": {
        "value": "5105105105105100",
        "category": "credit_card",
        "label": "Mastercard 16-digit"
      },
      "variant": {
        "value": "5105105105105100",
        "generator": "delimiter",
        "technique": "no_delimiter",
        "transform_name": "All delimiters removed",
        "strategy": "text"
      },
      "detected": true,
      "severity": "pass",
      "duration_ms": 371.01,
      "error": null
    },
    {
      "payload": {
        "value": "046 454 286",
        "category": "sin",
        "label": "Canada SIN"
      },
      "variant": {
        "value": "Ο4б 4Ƽ4 ΚȢб",
        "generator": "unicode_encoding",
        "technique": "homoglyph_substitution",
        "transform_name": "Visually similar Cyrillic/Greek characters substituted",
        "strategy": "text"
      },
      "detected": false,
      "severity": "fail",
      "duration_ms": 378.57,
      "error": null
    }
  ]
}

Severity values:

Value Meaning
pass Scanner detected the variant (good)
fail Scanner missed the variant — evasion succeeded
error Adapter error (network, timeout, etc.)

CLI reference

evadex scan [OPTIONS]
Flag Default Description
--tool, -t dlpscan-cli Adapter name to use
--input, -i (all built-ins) Single value to test. If omitted, runs all 10 built-in payloads. Category is auto-detected (Luhn check, regex patterns for SSN/IBAN/AWS/JWT/email/phone).
--format, -f json Output format: json or html
--output, -o stdout Write report to file instead of stdout
--strategy all four Submission strategy: text, docx, pdf, xlsx. Repeat the flag for multiple. Omit to run all four.
--concurrency 5 Max concurrent requests
--timeout 30.0 Request timeout in seconds
--url http://localhost:8080 Base URL (for HTTP-based adapters)
--api-key (env: EVADEX_API_KEY) API key passed as Authorization: Bearer
--category (all) Filter built-in payloads by category. Repeat for multiple. Values: credit_card, ssn, sin, iban, aws_key, jwt, email, phone
--variant-group (all) Limit to specific generator(s). Repeat for multiple. Values: unicode_encoding, delimiter, splitting, leetspeak, regional_digits, structural, encoding

Examples

# Only test credit card payloads
evadex scan --tool dlpscan-cli --strategy text --category credit_card

# Only run unicode evasion techniques
evadex scan --tool dlpscan-cli --strategy text --variant-group unicode_encoding

# Only run unicode + delimiter techniques on SSN and IBAN
evadex scan --tool dlpscan-cli --strategy text \
  --category ssn --category iban \
  --variant-group unicode_encoding --variant-group delimiter

# Test a custom value (category auto-detected)
evadex scan --tool dlpscan-cli --input "AKIAIOSFODNN7EXAMPLE" --strategy text

# File strategy only — test DOCX extraction pipeline
evadex scan --tool dlpscan-cli --input "4532015112830366" --strategy docx

# Save HTML report
evadex scan --tool dlpscan-cli --strategy text --format html -o report.html

Adapters

Built-in: dlpscan-cli

Invokes the dlpscan CLI directly as a subprocess. Requires dlpscan to be installed and on PATH.

evadex scan --tool dlpscan-cli

For file strategies, evadex builds the document in memory and writes it to a temp file, runs dlpscan <file> -f json, then deletes the temp file.

Built-in: dlpscan

Generic HTTP adapter for any DLP tool that exposes a REST API. Sends plain text to POST /scan with a {"content": "..."} body, and file uploads to POST /scan/file as multipart form data. Expects a JSON response with a detected boolean (configurable via the response_detected_key extra config option).

evadex scan --tool dlpscan --url http://my-dlpscan-server:8080 --api-key my-key

Adding a custom adapter

  1. Create a file anywhere in your project, e.g. my_adapter.py.

  2. Subclass BaseAdapter and implement submit():

from evadex.adapters.base import BaseAdapter
from evadex.core.registry import register_adapter
from evadex.core.result import Payload, Variant, ScanResult


@register_adapter("my-tool")
class MyToolAdapter(BaseAdapter):
    name = "my-tool"

    async def submit(self, payload: Payload, variant: Variant) -> ScanResult:
        # Send variant.value to your scanner however it expects it.
        # variant.strategy is "text", "docx", "pdf", or "xlsx".
        # Return a ScanResult with detected=True/False.
        response = await call_my_scanner(variant.value)
        detected = response.get("found", False)
        return ScanResult(
            payload=payload,
            variant=variant,
            detected=detected,
            raw_response=response,
        )
  1. Import your adapter before invoking evadex (so the @register_adapter decorator fires), then use it:
python -c "import my_adapter" && evadex scan --tool my-tool

Or wire it up properly as a package with an entry point in pyproject.toml:

[project.entry-points."evadex.adapters"]
my-tool = "my_package.my_adapter"

Optional hooks:

async def setup(self):
    # Called once before the batch — open connections, authenticate, etc.
    self._session = await open_session()

async def teardown(self):
    # Called once after the batch — clean up connections.
    await self._session.close()

async def health_check(self) -> bool:
    # Optional — verify the scanner is reachable.
    return await ping_scanner()

File strategies: variant.strategy tells you which format evadex wants to use. If your scanner only supports one method, ignore strategies you don't need and handle the rest:

from evadex.adapters.dlpscan.file_builder import FileBuilder

async def submit(self, payload, variant):
    if variant.strategy == "text":
        raw = await self._scan_text(variant.value)
    else:
        data, mime = FileBuilder.build(variant.value, variant.strategy)
        raw = await self._scan_file(data, mime)
    ...

FileBuilder.build(text, fmt) returns (bytes, mime_type) entirely in memory — no disk writes.


Output schema

Top-level

{
  "meta": { ... },
  "results": [ ... ]
}

meta

Field Type Description
timestamp ISO 8601 string When the scan ran
total int Total test cases run
pass int Variants detected by scanner
fail int Variants that evaded scanner
error int Adapter errors
pass_rate float pass / total * 100
summary_by_category object Per-category pass/fail/error counts

results[]

Field Type Description
payload.value string Original sensitive value
payload.category string Detected category enum value
payload.label string Human-readable label
variant.value string Transformed/obfuscated value submitted to scanner
variant.generator string Which generator produced this variant
variant.technique string Machine-readable technique name
variant.transform_name string Human-readable description of the transform
variant.strategy string Submission strategy: text, docx, pdf, xlsx
detected bool Whether the scanner flagged this variant
severity string pass, fail, or error
duration_ms float Time for this test case in milliseconds
error string | null Error message if adapter threw

Publishing to PyPI

pip install build twine
python -m build
twine upload dist/*

Update the [project.urls] section in pyproject.toml with your real GitHub repository URL before publishing.


License

MIT — see LICENSE.

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