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 and tested with dlpscan; works with any scanner via its adapter interface. Detection rates vary by scanner, configuration, and ruleset — run evadex against your own deployment to see your results.
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:
Payloads are classified as structured or heuristic — see Structured vs heuristic categories below.
| Label | Value | Category type |
|---|---|---|
| Visa 16-digit | 4532015112830366 |
structured |
| Amex 15-digit | 378282246310005 |
structured |
| Mastercard 16-digit | 5105105105105100 |
structured |
| US SSN | 123-45-6789 |
structured |
| Canada SIN | 046 454 286 |
structured |
| UK IBAN | GB82WEST12345698765432 |
structured |
| Email address | test.user@example.com |
structured |
| US phone number | +1-555-867-5309 |
structured |
| AWS Access Key ID | AKIAIOSFODNN7EXAMPLE |
heuristic |
| Sample JWT | (compact JWT string) | heuristic |
Heuristic payloads are excluded from the default scan. Use --include-heuristic to include them.
Structured vs heuristic categories
evadex classifies its built-in payload categories into two groups:
Structured — formats with well-defined, mathematically or syntactically validatable patterns. DLP scanners typically enforce these patterns precisely (e.g., Luhn check on credit cards, fixed-length digit groups for SSN/SIN, checksum-verified IBAN). Evasion results in this group reflect meaningful signal: a variant that evades detection is a real gap in coverage.
Categories: credit_card, ssn, sin, iban, email, phone
Heuristic — formats where detection relies on fixed prefixes, high-entropy pattern matching, or loosely defined structure. DLP rules for these categories vary widely between scanners and configurations, and a "fail" result may simply reflect that the scanner never had a strong rule for that specific format variant — not that a real exfiltration path was found.
Categories: aws_key, jwt
Heuristic categories are excluded from the default scan to avoid misleading results. Include them with:
evadex scan --tool dlpscan-cli --include-heuristic
A warning is printed to stderr whenever --include-heuristic is active reminding you to interpret those results with caution.
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. 590 tests — N detected, N evaded
Detection rates depend on your scanner, its version, and how it's configured.
JSON output (--format json, default)
{
"meta": {
"timestamp": "2026-04-01T22:01:36.172424+00:00",
"total": 590,
"pass": 0,
"fail": 0,
"error": 0,
"pass_rate": 0.0,
"summary_by_category": {
"credit_card": { "pass": 0, "fail": 0, "error": 0 },
"ssn": { "pass": 0, "fail": 0, "error": 0 },
"sin": { "pass": 0, "fail": 0, "error": 0 },
"iban": { "pass": 0, "fail": 0, "error": 0 },
"aws_key": { "pass": 0, "fail": 0, "error": 0 },
"jwt": { "pass": 0, "fail": 0, "error": 0 },
"email": { "pass": 0, "fail": 0, "error": 0 },
"phone": { "pass": 0, "fail": 0, "error": 0 }
}
},
"results": [
{
"payload": {
"value": "5105105105105100",
"category": "credit_card",
"category_type": "structured",
"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",
"category_type": "structured",
"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 8 structured built-in payloads (add --include-heuristic for all 10). 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 structured) | 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 |
--include-heuristic |
off | Also run heuristic categories (jwt, aws_key). A warning is printed when enabled — see Structured vs heuristic categories. |
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. evadex was built and tested with dlpscan as the reference scanner. 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. File extraction support in dlpscan requires pip install dlpscan[office].
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
-
Create a file anywhere in your project, e.g.
my_adapter.py. -
Subclass
BaseAdapterand implementsubmit():
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,
)
- Import your adapter before invoking evadex (so the
@register_adapterdecorator 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.category_type |
string | structured or heuristic — see Structured vs heuristic categories |
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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