Security Scan Report: hujli.shop

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Submitted: Jan 2, 2026, 6:11:24 AMCompleted: Jan 2, 2026, 6:12:47 AMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 4 domains to perform 44 HTTP transactions. The main domain is hujli.shop.

Submitted URL: https://hujli.shop/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Phishing page impersonating Telegram on a newly registered, unranked domain – confirmed scam.

Risk Factors
Brand impersonation of Telegram on an unranked, newly registered domain
Google Safe Browsing social engineering detection
Domain age unknown (likely < 90 days) with brand mimicry
Lack of legitimate brand verification (final URL does not match telegram.org)
Use of QR‑code login prompt to harvest credentials
Domain age information unavailable

Details

Page Title

Telegram

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(53%)

Domain Information

The domain name 'hujli.shop' uses the commerce-oriented generic top-level domain (.shop). The registrable portion 'hujli' spans 5 characters holding two vowels versus 3 consonants. Word splitting yields 3 words: hu, j, li. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hujli.shop/

Page Load Overview

4.77s
Total Load Time
25
HTTP Requests
4
Domains
33 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:218 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network53% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
53%
technology software
34%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7103.73.161.233Hong Kong
AS401696COGNETCLOUD
6104.26.13.205United States
6104.26.12.205United Kingdom
6149.154.167.99London, England, United Kingdom
AS62041Telegram Messenger Inc
254--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1475387A85DC85B298E08D78EC5DF5DEC1089C1C68908805FBB757AA7867CD34ACBC397

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KtSGs303pcCcGyHmF/PKvX3LVgIK9GrMtQtitX5VZY:4dsZGF/PKP3LVgIK9GrMtQtitfe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:63728:oRh5IBWCLAIkTg4QiDSCBCXgCGtBkEAUGEOgqj4AE0iomgA3K5AkAQlAAgoigFaPigrEA9QM4kYh8nDiBUsEBIwoCBAIBAkI

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

Average Hash:ffffe7e7e7ffffff
Perceptual Hash:b323cccc3333cccc
Difference Hash:00000c0c08000000
Wavelet Hash:3c242424e4fcf0f0
Color Hash:#931f3e

Other Hashes

Crop Resistant:00000c0c08000000

Scan History

Scan history not available

Unable to load historical scan data