Security Scan Report: app-zjf-whatsappcc.com

Submitted: Oct 12, 2025, 5:07:44 PMCompleted: Oct 12, 2025, 5:09:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 6 IPs in 3 countries across 3 domains to perform 31 HTTP transactions. The main domain is app-zjf-whatsappcc.com and was registered NaN years ago.

Submitted URL: https://app-zjf-whatsappcc.com/

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/low‑reputation domain claiming to be a major brand
Domain age information unavailable

Details

Page Title

app-zjf-whatsappcc.com

Scan Type

public

Language

🇨🇳

Chinese

(80% confidence)

Category

social media network

(94%)

Domain Information

Within the commercial generic top-level domain (.com), 'app-zjf-whatsappcc.com' is registered and has no subdomain. The core label 'app-zjf-whatsappcc' covers 18 characters with 3 vowels and 13 consonants; bonus characters include two hyphens. Segmentation suggests seven words: app, z, j, f, what, sap, pcc. Expect three characters per word on average. The linguistic tilt is Chinese (Pinyin) for 'app'. Secondary signals appear in English and Vietnamese. Taken together, it feels Chinese (Pinyin) with character flair.

Screenshot

Security scan screenshot of https://app-zjf-whatsappcc.com/

Page Load Overview

80.38s
Total Load Time
31
HTTP Requests
3
Domains
1.3 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:2,897 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network94% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
94%
corporate business
92%
technology software
89%
news media journalism
89%
e-commerce shopping
81%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.174.227.42Singapore
5119.188.220.225China
AS4837CHINA UNICOM China169 Backbone
549.71.39.36China
AS137697CHINATELECOM JiangSu YangZhou IDC networkdescr: YangZhouJiangsu Province, P.R.China.
5103.254.73.199Seoul, Seoul, South Korea
AS205960Hdtidc Limited
543.174.229.41Singapore
5240d:c010:74:3::b9Singapore
316--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166C2C632096027771317E5CDD116AF27B5D74F69ACAB0C56A6F862DC4FE6F00E8026C6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:pNI+lTaCiZ5OJV6PkoreclhR30IFSZ1ZZrJGeFIJIxIxSwpaCIJIeIxPwqSUGwDb:pN9lTaj5OJV6PkoreclhRoZXZrJGeFO1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:28011:gYgEFAQgEFEhmrUApCB2AECIKgBBiVjCQMACAEEGkHDNCqD0wNeTg0QCwTARgcEkMSEASkMoGQEACSiYYSGyQjzLFchBRQBg

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:9d92908090f8ffff
Perceptual Hash:fc3c999b1899692c
Difference Hash:3336272624c3080a
Wavelet Hash:9df0808080f0ffff
Color Hash:#c1e06c

Other Hashes

Crop Resistant:3336272624c3080a

Scan History

Scan history not available

Unable to load historical scan data