Security Scan Report: faq.vaoow.cn

Submitted: Nov 3, 2025, 1:56:20 PMCompleted: Nov 3, 2025, 1:57:04 PMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 5 domains to perform 11 HTTP transactions. The main domain is faq.vaoow.cn and was registered NaN years ago.

Submitted URL: https://faq.vaoow.cn/?Login=QyRKX7PeZRqzpIlZ2I70Y6OiWs

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site likely a phishing page impersonating Monex Securities; avoid and report.

Risk Factors
Brand impersonation (Monex Securities) on a non‑official domain
Social Engineering detection by Google Safe Browsing
UNRANKED domain with low reputation
Recent domain age (< 6 months) combined with brand spoofing
Domain age information unavailable

Details

Page Title

ログイン/マネックス証券

Scan Type

public

Language

🇯🇵

Japanese

(54% confidence)

Category

unknown

(0%)

Domain Information

Within the Chinese country-code top-level domain (.cn), 'faq.vaoow.cn' is registered; it also runs on subdomain 'faq'. Count 5 characters in 'vaoow' containing 3 vowels alongside 2 consonants. Word splitting yields 3 words: va, oo, w. Expect two characters per word on average. 'va' most strongly signals Polish. Usage also turns up in Romanian and Italian contexts.

Screenshot

Security scan screenshot of https://faq.vaoow.cn/?Login=QyRKX7PeZRqzpIlZ2I70Y6OiWs

Page Load Overview

9.53s
Total Load Time
11
HTTP Requests
5
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇯🇵Japanese
Code: ja
Confidence:54%
Script:Mixed
Direction:ltr

Detection Details

Language Code:ja
Detection Confidence:54%
Script Type:Mixed
HTML Lang Attribute:en
Text Length:25 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ja

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11104.21.1.189United States
AS13335CLOUDFLARENET
0104.21.42.152United States
AS13335CLOUDFLARENET
013.32.99.103New York, New York, United States
AS16509AMAZON-02
0172.217.18.14United States
AS15169GOOGLE
0172.67.163.13United States
AS13335CLOUDFLARENET
0142.250.181.228United States
AS15169GOOGLE
0172.67.129.217United States
AS13335CLOUDFLARENET
02606:4700:3037::6815:2a98United States
AS13335CLOUDFLARENET
02606:4700:3036::6815:1bdUnited States
AS13335CLOUDFLARENET
02606:4700:3035::ac43:a30dUnited States
AS13335CLOUDFLARENET
1116--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15141D0AE7832AC9E8812C223D87CB60DD981EC0BF50A544035DE968CBFC1A55E8DB75C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:njCHJbvnW6seHyxXWzhP82ZAuaoXE3XEn34CdjmoPnqc+6WBNki5/5t5JyIRAVBD:n3heSxXWFHDaaEHEoCtCFR3Jrc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2346:AAAAAAAAAIAgAARAAoCAyAAICAAMAAAggIBAAgAECAAlABASAACgCEgAACgAAhAAAAEAAEmIAAAAAAAAAAggQQAIgAAEBJFA

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:ffffffe7e7ffffff
Perceptual Hash:b326cc993366cc99
Difference Hash:0000000808000000
Wavelet Hash:30301008ecfcfcfc
Color Hash:#862d62

Other Hashes

Crop Resistant:0000000808000000

Scan History

Scan history not available

Unable to load historical scan data