Grammarly Phishing Detection Scanner
This scanner detects the use of Grammarly Phishing in digital assets. It identifies instances where a fraudulent website impersonates Grammarly to deceive users. The scanner assists in maintaining cybersecurity by recognizing potential phishing threats.
Short Info
Level
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
19 days 5 hours
Scan only one
URL
Toolbox
Grammarly is a widely used writing assistance tool that uses advanced artificial intelligence to help users improve their writing quality. Both individuals and businesses use Grammarly to enhance documents, emails, and various forms of communication. The platform is primarily used by students, educators, and professionals across numerous industries. Its purpose is to ensure clear, concise, and error-free writing. Grammarly is available as a web application, browser extension, and desktop application, making it easily accessible for users. This widespread utilization makes it a common target for phishing attacks, where malicious actors create fake websites that mimic Grammarly's interface.
This scanner focuses on detecting phishing attempts that impersonate the Grammarly website. The scanner checks digital assets to identify fraudulent sites pretending to be affiliated with Grammarly. Phishing attacks deceive users into believing they are interacting with a legitimate website, luring them into revealing sensitive information. By spotting these phishing attempts, the scanner helps protect users from losing confidential data and potentially falling victim to fraud. Utilizing specific detection criteria, the scanner identifies discrepancies from the authentic Grammarly site, such as improper URL hosts.
The scanner technically operates by sending HTTP GET requests to the targeted URL and examines the response. It searches for specific words in the webpage, such as the title tag characteristic of Grammarly's legitimate site. Additionally, it ensures that the site does not include the authentic Grammarly domain in its host. It checks the HTTP status to confirm access. This dual-checking method ensures a robust identification of phishing sites. By combining content verification with host verification, the scanner provides a precise detection service.
The exploitation of detected phishing sites can lead to users inadvertently sharing private credentials, risking identity theft or unauthorized access to secured accounts. Sensitive data such as login credentials can be absorbed and misused by phishers, potentially resulting in financial loss or compromised information security. Beyond individual impact, an organization's security posture can be significantly undermined through the proliferation of phishing sites.
REFERENCES
