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xposedornot

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xposedornot

Python client for the XposedOrNot API - Check for data breaches and exposed credentials

pipPyPI
Version
0.1.1
Maintainers
1

XposedOrNot Python Client

A Python client for the XposedOrNot API to check for data breaches and exposed credentials.

Installation

pip install xposedornot

Quick Start

from xposedornot import XposedOrNot

# Initialize the client
xon = XposedOrNot()

# Check if an email has been exposed
result = xon.check_email("test@example.com")
print(f"Found in {len(result.breaches)} breaches: {result.breaches}")

# Get detailed breach analytics
analytics = xon.breach_analytics("test@example.com")
print(f"Total exposures: {analytics.exposures_count}")
print(f"First breach: {analytics.first_breach}")

for breach in analytics.breaches_details:
    print(f"  - {breach.breach}: {breach.xposed_records} records")

# Get all known breaches
breaches = xon.get_breaches()
print(f"Total breaches in database: {len(breaches)}")

# Filter breaches by domain
adobe_breaches = xon.get_breaches(domain="adobe.com")

# Check if a password has been exposed (uses k-anonymity)
pwd_result = xon.check_password("password123")
print(f"Password exposed {pwd_result.count} times")

Features

  • Email Breach Check: Check if an email has been exposed in known data breaches
  • Breach Analytics: Get detailed analytics including metrics by industry, risk level, and year
  • Breach Database: Access the full database of known breaches with filtering
  • Password Check: Securely check passwords using k-anonymity (only hash prefix sent)
  • Rate Limiting: Built-in rate limiting (1 request/second) to respect API limits
  • Type Hints: Full type annotations for IDE support

API Reference

XposedOrNot Client

from xposedornot import XposedOrNot

# Basic initialization
xon = XposedOrNot()

# With options
xon = XposedOrNot(
    api_key="your-api-key",      # For authenticated endpoints
    timeout=30.0,                 # Request timeout in seconds
    rate_limit=True,              # Enable/disable rate limiting
)

# Use as context manager
with XposedOrNot() as xon:
    result = xon.check_email("test@example.com")

Methods

check_email(email: str) -> EmailBreachResponse

Check if an email has been exposed in data breaches.

result = xon.check_email("test@example.com")
print(result.breaches)  # ['Adobe', 'LinkedIn', ...]

breach_analytics(email: str) -> BreachAnalyticsResponse

Get detailed breach analytics for an email.

analytics = xon.breach_analytics("test@example.com")
print(analytics.exposures_count)      # Total exposures
print(analytics.breaches_count)       # Number of breaches
print(analytics.first_breach)         # Date of first breach
print(analytics.breaches_details)     # List of BreachDetails
print(analytics.metrics)              # BreachMetrics with industry, risk, etc.

get_breaches(domain: str = None) -> list[Breach]

Get all known breaches, optionally filtered by domain.

# All breaches
all_breaches = xon.get_breaches()

# Filter by domain
adobe = xon.get_breaches(domain="adobe.com")

check_password(password: str) -> PasswordCheckResponse

Check if a password has been exposed using k-anonymity.

result = xon.check_password("mypassword")
print(result.count)            # Times found in breaches
print(result.characteristics)  # Password traits

Error Handling

from xposedornot import (
    XposedOrNot,
    NotFoundError,
    RateLimitError,
    ValidationError,
)

xon = XposedOrNot()

try:
    result = xon.check_email("test@example.com")
except NotFoundError:
    print("Email not found in any breaches")
except RateLimitError:
    print("Rate limit exceeded, please wait")
except ValidationError as e:
    print(f"Invalid input: {e}")

Response Models

All responses are typed dataclasses:

  • EmailBreachResponse - Contains list of breach names
  • BreachAnalyticsResponse - Detailed analytics with metrics
  • BreachDetails - Individual breach information
  • BreachMetrics - Analytics breakdown
  • Breach - Breach database entry
  • PasswordCheckResponse - Password exposure data

License

MIT License

Keywords

breach

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