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Security Scan Report: www.app-cai-whatsappcc.com

Redirected to: https://www.app-cai-whatsappcc.com/

Submitted: Oct 12, 2025, 5:13:01 PMCompleted: Oct 12, 2025, 5:14:48 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 3 domains to perform 34 HTTP transactions. The main domain is app-cai-whatsappcc.com.

Submitted URL: http://www.app-cai-whatsappcc.com/

Effective URL: https://www.app-cai-whatsappcc.com/Redirected

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

Site impersonates WhatsApp and uses circular redirects; high‑risk phishing site.

Risk Factors
Circular redirect (strong indicator of malicious URL manipulation)
Brand impersonation on a non‑official, unranked domain
Lack of Cisco Umbrella ranking for a site claiming to be a major service
Potentially newly registered domain with no reputation
Domain age information unavailable

Details

Page Title

www.app-cai-whatsappcc.com

Scan Type

public

Language

🇨🇳

Chinese

(80% confidence)

Category

social media network

(88%)

Domain Information

You're looking at domain 'www.app-cai-whatsappcc.com' on the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'app-cai-whatsappcc' is 18 characters long holding 5 vowels versus 11 consonants, notching two hyphens. It segments into five words: app, cai, what, sap, pcc. The median word length lands at three characters. 'app' most strongly signals Chinese (Pinyin). It also appears in English and Vietnamese contexts. Overall, 'www.app-cai-whatsappcc.com' reads as Chinese (Pinyin) with character flair.

Screenshot

Security scan screenshot of http://www.app-cai-whatsappcc.com/

Page Load Overview

66.70s
Total Load Time
34
HTTP Requests
3
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:80%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:80%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:2,810 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
88%
corporate business
83%
technology software
74%
news media journalism
72%
government public service
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.174.229.41Singapore
AS139341ACE
543.174.227.42Singapore
AS139341ACE
549.71.39.36China
AS137697CHINATELECOM JiangSu YangZhou IDC networkdescr: YangZhouJiangsu Province, P.R.China.
5119.188.220.225China
AS4837CHINA UNICOM China169 Backbone
591.204.226.64Seoul, Seoul, South Korea
AS205960Hdtidc Limited
5240d:c010:74:3::b9Singapore
AS139341ACE
346--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DC2B53109512773131BE5CED012AF2BB6D78B69A89F0C56A2F862DD5FE2F01F8065C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:N0/QNI+l8WEF2s/WiZSZyGykluObPfcfefhQYWQkX67kzieQfQCQEAuLxIQ7/M+6:PN9l8P/ZSZyGyklu4PfcfefhQYWQkX6i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27512:YC0AbKKBSKgCBjMIEgiArgMBgIKgwoCuh5xSQlQlaLWoEuCAKwAwkIGBMgEQRWCAHAACBAouEcBbwNhHAZFRpgwnMCQAEOQF

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:9992908090f8ffff
Perceptual Hash:fc3c999b1a98692c
Difference Hash:3336272624c3080a
Wavelet Hash:9df0808080f0ffff
Color Hash:#1f2d93

Other Hashes

Crop Resistant:3336272624c3080a

Scan History

Scan history not available

Unable to load historical scan data