ScanMalware.com

Security Scan Report: ws-whatsaac.icu

Redirected to: https://ws-whatsaac.icu/

Site favicon
Submitted: Dec 7, 2025, 2:21:59 AMCompleted: Dec 7, 2025, 2:23:30 AMpubliccompleted
Loading additional data...

Summary

This website contacted 19 IPs in 3 countries across 3 domains to perform 21 HTTP transactions. The main domain is ws-whatsaac.icu and was registered NaN years ago.

Submitted URL: http://ws-whatsaac.icu/

Effective URL: https://ws-whatsaac.icu/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed phishing scam impersonating WhatsApp on a brand‑new unranked domain.

Risk Factors
Brand impersonation on a newly registered domain
Critical domain age (<7 days)
Unranked domain with low reputation
Use of WhatsApp branding without official domain
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇩🇪

German

(55% confidence)

Category

social media network

(89%)

Domain Information

The domain name 'ws-whatsaac.icu' uses the .icu top-level domain. The second-level label 'ws-whatsaac' is 11 characters long with 3 vowels and seven consonants; it also includes 1 hyphen. Segmentation suggests 4 words: ws, what, s, aac. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://ws-whatsaac.icu/

Page Load Overview

1.88s
Total Load Time
21
HTTP Requests
3
Domains
122 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:55%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:55%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,135 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

social media network89% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
89%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18154.94.239.28Jakarta, Jakarta, Indonesia
AS401696COGNETCLOUD
1172.67.69.226United States
AS13335CLOUDFLARENET
1104.26.9.44United States
AS13335CLOUDFLARENET
1118.25.42.241Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
1124.220.205.65Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
12408:4005:30a:4302:6218:d8d9:db29:65c1Hangzhou, Zhejiang, China
AS37963Hangzhou Alibaba Advertising Co.,Ltd.
12606:4700:20::ac43:45e2United States
AS13335CLOUDFLARENET
12606:4700:20::681a:82cUnited States
AS13335CLOUDFLARENET
1104.26.8.44United States
AS13335CLOUDFLARENET
1124.221.80.91Shanghai, Shanghai, China
AS45090Shenzhen Tencent Computer Systems Company Limited
2119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C52E73028023427893B8791F47AAF5539539339CB995968A7EC0A1DDFCFCD9CD722A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:Gyrozg+erLLozg+erLQVd9+LzvfQJTzhBeC3D:Hb+ervb+er8Vd9+XHQJTzhBeC3D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14046:dBRAbZIAYg5HIACUIICIDgAINP04ATIUAA9WBICUmGMiOYSIqBOhDgm8RNKYIhUQKCBACAgBAoAokEsWMaAehlQJgAMAER8C

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:fe81ffdfc7c3cfc3
Perceptual Hash:b6cf4966989c618d
Difference Hash:4523682c0ccc9c9e
Wavelet Hash:fc80bec6c6c3c383
Color Hash:#934c1f

Other Hashes

Crop Resistant:4523682c0ccc9c9e

Scan History

Scan history not available

Unable to load historical scan data