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Security Scan Report: yklabwhs.com

Redirected to: https://yklabwhs.com/

Submitted: Oct 18, 2025, 10:08:21 AMCompleted: Oct 18, 2025, 10:09:23 AMpubliccompleted
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Summary

This website contacted 29 IPs in 4 countries across 4 domains to perform 38 HTTP transactions. The main domain is yklabwhs.com and was registered NaN years ago.

Submitted URL: http://yklabwhs.com/

Effective URL: https://yklabwhs.com/Redirected

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

Site exhibits strong redirect manipulation and is brand‑new, indicating high‑risk phishing behavior.

Risk Factors
Circular redirect indicates possible malicious redirect loop
URL manipulation suggests spoofed URL to deceive users
Brand‑new domain (<7 days) is typical for phishing or scam sites
Unranked domain with no reputation increases suspicion
Multiple redirects can be used to hide final malicious destination
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(60% confidence)

Category

real estate property

(43%)

Domain Information

Domain 'yklabwhs.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 8 characters in 'yklabwhs' split between one vowel and seven consonants. Breaking it apart gives five words: y, k, lab, wh, s. Median word length comes out to 1 character. 'y' most often appears in Spanish. You may catch it in Croatian and Chinese (Zhuyin) as well. Net impression: Spanish phrase.

Screenshot

Security scan screenshot of http://yklabwhs.com/

Page Load Overview

19.35s
Total Load Time
38
HTTP Requests
4
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
HTML Lang Attribute:zh-CN
Text Length:79 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

real estate property43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
43%
e-commerce shopping
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10124.222.174.117Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1156.225.108.42Hong Kong
AS139057Edgenext Legend Dynasty Pte. Ltd.
1172.67.140.144United States
AS13335CLOUDFLARENET
1188.114.97.3United States
AS13335CLOUDFLARENET
1104.21.87.42United States
AS13335CLOUDFLARENET
1188.114.96.3United States
AS13335CLOUDFLARENET
12407:2440:17::bSingapore
AS139057Edgenext Legend Dynasty Pte. Ltd.
1124.220.203.60Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12407:2440:17::dSingapore
AS139057Edgenext Legend Dynasty Pte. Ltd.
1124.220.205.65Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
3829--

Detected Technologies1

X-UA-Compatible
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17504C972B249217E7327C6255BE0EEECF11DD713E6420AA8F641363ACFC7AD61812B45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1TFfXsypEpYbJcbUS5i/k/d3YDScyJL5pYwvs4uCAK:1TFfX4pYbJc4S5i/k/d3YDScyJL5pYwJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182762:AJCHAToI6aBqBE7hBoUIAoVAgIeDweiMiJG+S5WwMGgiQiKWIsHsCtMpRIoBALssFBJAgKEApwAiBy1kENJAETgUwi0SEAQC

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:ffffffffffffffc3
Perceptual Hash:e798679867986398
Difference Hash:000000000000000c
Wavelet Hash:0f0f0f0f0f0f2f03
Color Hash:#2d8646

Other Hashes

Crop Resistant:000000000000000c

Scan History

Scan history not available

Unable to load historical scan data