Security Scan Report: whatsapp-wep.com

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 1 domain to perform 8 HTTP transactions. The main domain is whatsapp-wep.com and was registered 2 weeks ago.

Submitted URL: https://whatsapp-wep.com

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Two-day-old domain dressed as WhatsApp's official web/download portal, backed by a Google Safe Browsing social-engineering hit and a HIGH IDS alert. No forms, but do not trust the scan-code/download prompts or enter credentials.

Risk Factors (5)
Impersonation of the WhatsApp brand ('官网下载' / official-site claim) on a non-official, 2-day-old domain
Google Safe Browsing Social Engineering threat detected
Network IDS HIGH alert (ET DROP Spamhaus DROP Listed Traffic Inbound)
Domain 2 days old and unranked with no established reputation
Unofficial 'WhatsApp Web / download' tutorial funnel designed to capture search traffic for a major brand (SEO/brand-abuse pattern)
Domain age information unavailable

Details

Page Title

WhatsApp网页版 - 免安装扫码登录与跨设备收发消息教程 | 官网下载

Scan Type

public

Domain Name Analysis

You're looking at domain 'whatsapp-wep.com' on the commercial generic top-level domain (.com) without a subdomain. Count 12 characters in 'whatsapp-wep' containing three vowels alongside eight consonants; it also includes 1 hyphen. Segmentation suggests four words: what, s, app, wep. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://whatsapp-wep.com

Page Load Overview

3.08s
Total Load Time
448 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

HTML Lang Attribute:zh-Hans
Text Length:1,869 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network99% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
99%
download file sharing
98%
technology software
97%
government public service
95%
news media journalism
93%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.147.164.115United States
AS402075Peekabo Networks
123.147.164.111United States
AS402075Peekabo Networks
123.147.164.124United States
AS402075Peekabo Networks
123.147.164.125United States
AS402075Peekabo Networks
123.147.164.114United States
AS402075Peekabo Networks
123.147.164.113United States
AS402075Peekabo Networks
123.147.164.123United States
AS402075Peekabo Networks
87--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15F82977250F0AA27112692DD76966359BDDADA0BEC660E3075FC1AE0CFC3ED1E943085

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:OZXbbVjcvTy5QZrgD0JaecobgAIYADm5v2hq41V7LjLFl943Pbhrf5QZrUc:ob9cvTuogDUcQxAC5v2c477LjLuPoUc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19207:VRAPBdMUgQFBYgCcAQAiAiAlAowCiNbRjEbAKADilsMIGgLQtEoAFACEOAcIcD0AAjQSDRaAg8Ion6K2oQIAgtYQCAgE5QQD

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:f9f1c3c19fffffff
Perceptual Hash:ec6dc193929b193c
Difference Hash:2327262b2d29a2c0
Wavelet Hash:f9f181818704c3ff
Color Hash:#ac8d53

Scan History

Scan history not available

Unable to load historical scan data