Summary
This website contacted 6 IPs in 1 country across 6 domains to perform 36 HTTP transactions. The main domain is account.foxit.com and was registered NaN years ago.
Submitted URL: https://login.foxitesign.foxit.com
Effective URL: https://account.foxit.com/cas/login?service=https%3A%2F%2Faccount.foxit.com%2Fcas%2Foauth2.0%2FcallbackAuthorize%3Fclient_id%3Dd8bd1402-1328-4f8e-b0b7-67faec39cdfc%26redirect_uri%3Dhttps%253A%252F%252Flogin.foxitesign.foxit.com%252Flogin%253Fsource%253Dfoxit%26response_type%3Dcode%26client_name%3DCasOAuthClient&an=foxitsign&targetUrl=https%3A%2F%2Flogin.foxitesign.foxit.com%2Flogin%3Fsource%3Dfoxit&hf=1Redirected
The Cisco Umbrella rank of the primary domain is #15,245 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate Foxit login page; safe to interact.
Safety Factors
Details
Page Title
Sign In
Scan Type
public
Language
English
Category
social_media
(50%)Domain Information
The domain 'login.foxitesign.foxit.com' uses the commercial generic top-level domain (.com) and includes subdomain 'login.foxitesign'. Its registrable label 'foxit' stretches across 5 characters split between two vowels and 3 consonants. Splitting it apart reveals two words: fox, it. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 10 | 104.16.80.73 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.29.93 | United States | AS13335CLOUDFLARENET |
| 5 | 54.235.169.2 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 5 | 142.251.140.174 | United States | AS15169GOOGLE |
| 5 | 52.205.82.236 | United States | Unknown |
| 5 | 151.101.192.114 | United States | Unknown |
| 35 | 6 | - | - |
Detected Technologies10
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
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