The Phishing Scanner API is a crucial tool in the battle against online fraud and cyber threats. Designed to enhance security and protect users, this powerful API is dedicated to thoroughly examining URLs and domains to detect known phishing attempts. As phishing attacks continue to evolve and target unsuspecting individuals and organizations, this API serves as a vital line of defense, empowering developers and security professionals to proactively identify and neutralize potential threats.
By leveraging advanced algorithms and threat intelligence databases, the Phishing Scanner API performs a comprehensive analysis of URLs and domains to determine if they match known phishing patterns. It checks against a constantly updated repository of phishing URLs and indicators of compromise, ensuring real-time detection and swift response to emerging threats.
One of the API's key advantages is its ease of integration and usage. With simple API calls, developers can seamlessly incorporate phishing detection capabilities into their applications, websites, or security solutions. This empowers businesses and organizations of all sizes to implement robust security measures without the need for extensive expertise in cybersecurity.
For online platforms, e-commerce websites, and social media networks, the Phishing Scanner API plays a crucial role in safeguarding users from malicious links and fraudulent websites. By scanning user-submitted URLs or embedded links, these platforms can prevent phishing attacks from reaching their users, thereby preserving trust, customer loyalty, and brand reputation.
Additionally, the API can be utilized by security teams to enhance incident response and threat intelligence gathering. By continuously monitoring web traffic and scanning for phishing indicators, organizations can proactively identify potential security breaches and quickly implement countermeasures, preventing data breaches and financial losses.
Furthermore, the Phishing Scanner API is an essential component in the fight against phishing campaigns that exploit users through fraudulent emails and messages. By verifying links embedded in emails or chat messages, email service providers and communication platforms can effectively block malicious content, reducing the risk of successful phishing attempts.
In conclusion, the Phishing Scanner API is a valuable asset for any organization aiming to bolster cybersecurity and protect users from phishing threats. Its comprehensive analysis of URLs and domains ensures that known phishing attempts are promptly identified and thwarted. By integrating this API into their systems, businesses and developers can take proactive steps in securing their digital environments and cultivating a safer online experience for all users.
Pass the URL to analyze. Receive the phishing analysis.
Email and Messaging Platforms: Email service providers and messaging applications can integrate the Phishing Scanner API to automatically scan embedded links in incoming messages. By identifying known phishing URLs, they can prevent users from accessing malicious content and protect them from falling victim to phishing attacks.
Social Media and Online Forums: Social media networks and community forums can leverage the API to monitor user-submitted URLs and links. By proactively scanning for phishing attempts, they can prevent the dissemination of harmful content, ensuring a safe and trustworthy online environment for their users.
E-commerce Websites: E-commerce platforms can use the Phishing Scanner API to verify URLs submitted by vendors or customers in product descriptions, reviews, and communications. This helps protect buyers from potential phishing links and maintains the integrity of the platform's product information.
Cybersecurity Solutions: Security companies and IT teams can integrate the API into their cybersecurity solutions to enhance threat intelligence and incident response capabilities. By continuously monitoring for known phishing URLs, they can promptly detect and mitigate phishing attacks, reducing the risk of data breaches and financial losses.
Web Browsers and Security Extensions: Web browsers and browser extensions can incorporate the Phishing Scanner API to provide an additional layer of security to users while browsing the internet. By automatically scanning URLs and domains, these tools can warn users about potential phishing sites, empowering them to make safer online choices.
Besides the number of API calls, there is no other limitation
Check if a URL is a known phishing attempt
Analyzer - Endpoint Features
| Object | Description |
|---|---|
url |
[Required] This is the URL that the API will check. Must be a valid HTTP(s) URL or it will throw a 400 |
{"status":200,"data":{"isScam":false,"domain":"zylalabs.com","detection":{"type":"domain"}}}
curl --location --request GET 'https://zylalabs.com/api/2263/phishing+scanner+api/2129/analyzer?url=https://zylalabs.com' --header 'Authorization: Bearer YOUR_API_KEY'
| Header | Description |
|---|---|
Authorization
|
[Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed. |
No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.
The Phishing Scanner API employs advanced algorithms and threat intelligence databases to analyze URLs and domains. It compares them against a constantly updated repository of known phishing indicators and patterns, identifying potential matches to detect phishing attempts.
Yes, the API provides real-time phishing detection capabilities. It rapidly processes incoming requests, enabling platforms and applications to quickly assess the safety of URLs and domains, making it effective in preventing users from accessing phishing sites promptly.
Yes, the API is highly versatile and can be seamlessly integrated into various platforms and applications, including web browsers, email clients, messaging apps, and online services. Its ease of integration allows developers to enhance the security of their systems without extensive modifications.
The threat intelligence database used by the Phishing Scanner API is updated continuously. New phishing indicators and patterns are promptly added to ensure that the API's detection capabilities stay current and effective against emerging phishing threats.
The API follows industry-standard security protocols to safeguard user data and scanned URLs. It does not store or retain the scanned content beyond the necessary processing time, ensuring data privacy and protection.
The Phishing Scanner API returns data indicating whether a URL is a known phishing attempt. The response includes fields such as "isScam," "domain," and "detection," providing insights into the safety of the analyzed URL.
The key fields in the response data include "status," which indicates the request's success, "isScam," a boolean showing if the URL is a phishing attempt, "domain," which specifies the analyzed domain, and "detection," detailing the type of detection performed.
The response data is structured in JSON format. It includes a top-level "status" field, followed by a "data" object containing specific details about the URL analysis, such as "isScam" and "domain."
The endpoint provides information on whether a URL is associated with phishing attempts, the specific domain analyzed, and the type of detection performed, allowing users to assess the safety of links effectively.
The primary parameter for the endpoint is the URL to be analyzed. Users can customize their requests by providing different URLs to check against the phishing database.
Data accuracy is maintained through continuous updates to the threat intelligence database, which incorporates new phishing indicators and patterns. This ensures that the API's detection capabilities remain effective against evolving threats.
Typical use cases include scanning URLs in emails and messages, monitoring user-submitted links on social media, verifying vendor URLs on e-commerce platforms, and enhancing cybersecurity solutions for threat detection.
Users can utilize the returned data by checking the "isScam" field to determine if a URL is safe or malicious. They can implement automated responses based on this data, such as blocking access to identified phishing sites.
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