Summary
This website contacted 12 IPs in 1 country across 4 domains to perform 63 HTTP transactions. The main domain is uphoildliogin.gitbook.io.
Submitted URL: https://uphoildliogin.gitbook.io/us/
AI Security Verdict
High Risk
Confidence: 92%
Phishing page impersonating Uphold on an untrusted domain; avoid and report.
Risk Factors
Details
Bot Protection Detected
This website is protected by Cloudflare bot protection. Our scanner was challenged or blocked during access.
Page Title
Ûphold | login
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(93%)Domain Information
Domain 'uphoildliogin.gitbook.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'uphoildliogin'. The registrable portion 'gitbook' spans 7 characters containing three vowels alongside four consonants. Tokenizing the label suggests three words: g, it, book. The median word length lands at 2 characters. 'g' most strongly signals English. You may catch it in Chinese (Pinyin) and Chinese (Zhuyin) as well. Net impression: English phrase.
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 |
|---|---|---|---|
| 5 | 172.64.146.167 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.40.47 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.40.68 | United States | AS13335CLOUDFLARENET |
| 5 | 104.18.41.89 | United States | AS13335CLOUDFLARENET |
| 5 | 172.64.147.209 | United States | AS13335CLOUDFLARENET |
| 5 | 2a06:98c1:310d::ac40:92a7 | United States | AS13335CLOUDFLARENET |
| 5 | 2a06:98c1:3101::ac40:93bc | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700:4402::ac40:93d1 | United States | AS13335CLOUDFLARENET |
| 5 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 5 | 2606:4700:4408::6812:2844 | United States | AS13335CLOUDFLARENET |
| 63 | 12 | - | - |
Detected Technologies5
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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