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cloudmersive/cloudmersive_phishing_api_client

最新稳定版本:3.0.3

Composer 安装命令:

composer require cloudmersive/cloudmersive_phishing_api_client

包简介

README 文档

README

Easily and directly scan and block phishing security threats in input.

Cloudmersive Phishing API provides advanced phishing detection capabilities.

  • API version: v1
  • Package version: 3.0.3

Requirements

PHP 5.5 and later

Installation & Usage

Composer

To install the bindings via Composer, add the following to composer.json:

{
  "repositories": [
    {
      "type": "git",
      "url": "https://github.com/cloudmersive/cloudmersive_phishing_api_client.git"
    }
  ],
  "require": {
    "cloudmersive/cloudmersive_phishing_api_client": "*@dev"
  }
}

Then run composer install

Manual Installation

Download the files and include autoload.php:

    require_once('/path/to/cloudmersive_phishing_api_client/vendor/autoload.php');

Tests

To run the unit tests:

composer install
./vendor/bin/phpunit

Getting Started

Please follow the installation procedure and then run the following:

<?php
require_once(__DIR__ . '/vendor/autoload.php');

// Configure API key authorization: Apikey
$config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKey('Apikey', 'YOUR_API_KEY');
// Uncomment below to setup prefix (e.g. Bearer) for API key, if needed
// $config = Swagger\Client\Configuration::getDefaultConfiguration()->setApiKeyPrefix('Apikey', 'Bearer');

$apiInstance = new Swagger\Client\Api\PhishingDetectionApi(
    // If you want use custom http client, pass your client which implements `GuzzleHttp\ClientInterface`.
    // This is optional, `GuzzleHttp\Client` will be used as default.
    new GuzzleHttp\Client(),
    $config
);
$body = new \Swagger\Client\Model\AdvancedEmailDetectionRequest(); // \Swagger\Client\Model\AdvancedEmailDetectionRequest | Phishing detection request

try {
    $result = $apiInstance->phishingDetectEmailAdvancedPost($body);
    print_r($result);
} catch (Exception $e) {
    echo 'Exception when calling PhishingDetectionApi->phishingDetectEmailAdvancedPost: ', $e->getMessage(), PHP_EOL;
}

?>

Documentation for API Endpoints

All URIs are relative to https://localhost

Class Method HTTP request Description
PhishingDetectionApi phishingDetectEmailAdvancedPost POST /phishing/detect/email/advanced Perform advanced AI phishing detection and classification against input email. Supports email input as a file (PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, HTML, EML, MSG, PNG, JPG, WEBP) or as an HTML body string. Analyzes input email as well as embedded URLs with AI deep learning to detect phishing, phishing and other unsafe content. Uses 25-100 API calls depending on model selected.
PhishingDetectionApi phishingDetectFileAdvancedPost POST /phishing/detect/file/advanced Perform advanced AI phishing detection and classification on an input image or document (PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, HTML, EML, MSG, PNG, JPG, WEBP). Analyzes input content as well as embedded URLs with AI deep learning to detect phishing, phishing and other unsafe content. Uses 25-100 API calls depending on model selected.
PhishingDetectionApi phishingDetectFilePost POST /phishing/detect/file Perform AI phishing detection and classification on an input image or document (PDF, DOC, DOCX, XLS, XLSX, PPT, PPTX, HTML, EML, MSG, PNG, JPG, WEBP). Analyzes input content as well as embedded URLs with AI deep learning to detect phishing and other unsafe content. Uses 100-125 API calls depending on model selected.
PhishingDetectionApi phishingDetectTextStringAdvancedPost POST /phishing/detect/text-string/advanced Perform advanced AI phishing detection and classification against input text string. Analyzes input content as well as embedded URLs with AI deep learning to detect spam, phishing and other unsafe content. Uses 25-100 API calls depending on model selected.
PhishingDetectionApi phishingDetectTextStringPost POST /phishing/detect/text-string Perform AI phishing detection against input text string. Returns a clean/not-clean result with confidence level and optional rationale.
PhishingDetectionApi phishingDetectUrlAdvancedPost POST /phishing/detect/url/advanced Perform advanced AI phishing detection and classification against an input URL. Retrieves the URL content, checks for SSRF threats, and analyzes the page with AI deep learning to detect phishing and other unsafe content. Uses 100-125 API calls.

Documentation For Models

Documentation For Authorization

Apikey

  • Type: API key
  • API key parameter name: Apikey
  • Location: HTTP header

Author

统计信息

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GitHub 信息

  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • 开发语言: PHP

其他信息

  • 授权协议: proprietary
  • 更新时间: 2025-09-21

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