ScanMalware.com

Security Scan Report: arc-dig-whatapp.hl.cn

Redirected to:
https://hk.yahoo.com/?guccounter=1
Site favicon
Submitted: Aug 5, 2026, 11:13:18 PMCompleted: Aug 5, 2026, 11:14:14 PMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 1 HTTP transaction. The main domain is hk.yahoo.com and was registered NaN years ago.

Submitted URL: https://arc-dig-whatapp.hl.cn/

Effective URL: https://hk.yahoo.com/?guccounter=1Redirected

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site mimics Yahoo with copied meta tags on an unrelated, unranked domain, indicating brand impersonation despite lack of credential forms.

Risk Factors
Brand impersonation on mismatched domain
Unranked/low‑reputation domain
Meta tags copied from a major brand
Safety Factors
No credential or payment collection forms
No JavaScript malware signatures
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 7 to 3
Domain age information unavailable

Details

Page Title

Yahoo

Scan Type

public

Language

🇰🇷

Korean

(71% confidence)

Category

real estate property

(91%)

Domain Information

Domain 'arc-dig-whatapp.hl.cn' uses the Chinese country-code top-level domain (.hl.cn) without a subdomain. Count 15 characters in 'arc-dig-whatapp' containing four vowels alongside 9 consonants; it also includes two hyphens. Tokenizing the label suggests four words: arc, dig, what, app. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arc-dig-whatapp.hl.cn/

Page Load Overview

2.27s
Total Load Time
20
HTTP Requests
6
Domains
165 KB
Total Size

Language Analysis

Primary Language

🇰🇷Korean
Code: ko
Confidence:71%
Script:Hangul
Direction:ltr

Detection Details

Language Code:ko
Detection Confidence:71%
Script Type:Hangul
HTML Lang Attribute:zh-Hant-HK
Text Length:32,409 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as ko

Website Classification

Primary Category

real estate property91% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
91%
entertainment media
79%
corporate business
72%
finance banking
64%
healthcare medical
62%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
487.248.119.251United Kingdom
AS203220Yahoo-UK Limited
454.194.186.47Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
420.24.65.39Azure · CLOUDHong Kong, Hong Kong
AS8075Microsoft Corporation
434.250.39.6Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
487.248.119.252United Kingdom
AS203220Yahoo-UK Limited
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156A44CB5A3135A7F260389F8B5A1332EA1DAE72FCD53458CD3EC93142BDACE156D0168

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:K7zvryC2MysE9Kg/nHLEResppUCqxvf3bJ27JV4ytmv7vEG415X8FwIYhmqWHMf2:o8Kpp+xvlUJttmvIxfW9HlB+xs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:476975:kAApt5CAFNAIQATaRQQBYGC9SIUKYpiQigXMFCMAuGKCsBgIMREUOFABIBBBMnHkjg0NAc1BAiAEUjYhASmgKYAovA8LApDC

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:ffcfcfc9f9b9b9f9
Perceptual Hash:e9b486cecab63161
Difference Hash:6d9a9cbba37b7393
Wavelet Hash:f74f4e4859191978
Color Hash:#bf406a

Other Hashes

Crop Resistant:6d9a9cbba37b7393,e151838b93929191,716845c4e4d0d007,b270653368ec6f7e

Scan History

Scan history not available

Unable to load historical scan data