Definition: Domain and brand monitoring involves tracking the registration of new domain names that closely resemble a company’s domain or brand name, often referred to as typosquatting. This practice is crucial for protecting a brand’s integrity and safeguarding against phishing and fraudulent activities.
How Urlscore.ai can help: Urlscore.ai streamlines the process of identifying malicious URLs within domain monitoring systems. Given the high volume of alerts generated by similar or typosquatted domains, manual inspection becomes impractical. Urlscore.ai offers an automated solution, utilizing its API to investigate these domain alerts efficiently. It checks if a website is operational and evaluates the site’s content to determine its legitimacy and potential risk, including the presence of client-specific brands or malicious elements.
Example Workflow: Upon receiving a domain alert, the domain is submitted to Urlscore.ai. The system assesses the website’s status and content. For active sites, Urlscore.ai enables clients to perform tailored checks. This can range from identifying unauthorized use of brand elements to detecting malicious intent, thus aiding in proactive security measures.
Use Case: SOC & SIEM
Definition: Security Operations Centers (SOCs) are dedicated sites where enterprise information systems (web sites, applications, databases, data centers, and servers, etc.) are monitored, assessed, and defended. Security Information and Event Management (SIEM) systems support SOCs by providing a comprehensive view of the security environment through the collection and analysis of security logs and events.
How Urlscore.ai can help: Urlscore.ai enhances the capabilities of SOCs and SIEM systems by identifying potentially harmful website links in various logs such as emails, DNS, firewall, and proxy logs. This aids in the early detection and prevention of cybersecurity threats.
Example Workflow: Links from emails or web requests captured in logs are analyzed through Urlscore.ai’s API for risk assessment. URLs with risk scores above a predefined threshold trigger the creation of access filters, enhancing the organization’s defensive measures against potential cyber attacks.
Use Case: Email Plugin to Detect Phishing Attacks
Definition: Email plugins designed to detect phishing attacks provide users with tools to analyze and report suspicious emails. These plugins can evaluate links within emails to determine their safety, protecting users from potential threats.
How Urlscore.ai can help: Urlscore.ai empowers email security plugins by providing a centralized risk assessment of URLs found in emails. This enables a comprehensive and reliable analysis of links for potential threats.
Example Workflow: When a user receives an email and clicks the analyze button within their email plugin, Urlscore.ai extracts and evaluates the links. Should a high risk be identified, the plugin alerts the user, advising caution before visiting the website.
Use Case: Threat Intelligence
Definition: Threat intelligence solutions gather, analyze, and disseminate information about current and potential threats to an organization’s cybersecurity. This information includes a wide array of data points, such as malicious URLs or domains, which are crucial for understanding the threat landscape.
How Urlscore.ai can help: Urlscore.ai contributes to threat intelligence solutions by assessing the risk associated with URLs and domains within collected datasets. This risk assessment allows for the effective categorization and prioritization of threats, enhancing the overall threat intelligence process.
Example Workflow: In a threat intelligence solution, URLs and domains collected from various sources are submitted to Urlscore.ai for risk evaluation. Based on this assessment, intelligence analysts can better understand the severity and credibility of potential threats, aiding in the development of more effective defense strategies.
Use Case: URL Filter Security Product
Definition: URL filter security products, either as standalone solutions or integrated into firewalls, regulate internet access based on website categories. These products block or allow traffic to certain sites based on predefined security policies, particularly focusing on unknown sites that have not been categorized.
How Urlscore.ai can help: Urlscore.ai enhances URL filter security products by assessing the risk of websites categorized as “unknown.” This allows for the dynamic categorization of these sites based on their risk profile, potentially blocking access to harmful sites before they are officially categorized.
Example Workflow: When an unknown site is accessed, Urlscore.ai evaluates its risk level. If the site is deemed risky, Urlscore.ai automatically updates the filter settings, blocking future access to protect the network from potential threats.
Use Case: End User Protection When Surfing
Definition: Regular internet users often encounter links via email, chat, or social media and may be uncertain about their safety. End-user protection solutions provide users with tools to assess the risk of visiting these links, ensuring their online safety.
How Urlscore.ai can help: Urlscore.ai offers a reliable tool for end users to evaluate the risk associated with links received through various channels. By analyzing these links, Urlscore.ai helps users avoid visiting malicious or phishing websites, thereby protecting their personal information and devices.
Example Workflow: When a user encounters a suspicious link, they can submit it to Urlscore.ai for analysis. If the analysis returns a high risk score, Urlscore.ai advises the user against visiting the site, offering an immediate layer of protection against potential online threats.
