Security Scan Report: cafebiz.vn

Submitted: Nov 16, 2025, 1:48:46 PMCompleted: Nov 16, 2025, 1:51:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 54 IPs in 0 countries across 47 domains to perform 249 HTTP transactions. The main domain is cafebiz.vn.

Submitted URL: https://cafebiz.vn/bi-hai-jpmorgan-bi-1-nu-founder-lua-175-trieu-usd-nhung-van-phai-chi-tien-cho-nguoi-nay-nang-cap-khach-san-thue-luat-su-176251115095344993.chn

The Cisco Umbrella rank of the primary domain is #288,702 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Domain appears to host news content
Domain age information unavailable

Details

Page Title

Bi hài JPMorgan bị 1 nữ founder lừa 175 triệu USD nhưng vẫn phải chi tiền cho người này nâng cấp khách sạn, thuê luật sư

Scan Type

public

Language

🇻🇳

VI

(80% confidence)

Category

gambling betting

(84%)

Domain Information

You're looking at domain 'cafebiz.vn' on the Vietnamese country-code top-level domain (.vn). The second-level label 'cafebiz' is 7 characters long split between three vowels and 4 consonants. Word splitting yields 2 words: cafe, biz. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cafebiz.vn/bi-hai-jpmorgan-bi-1-nu-founder-lua-175-trieu-usd-nhung-van-phai-chi-tien-cho-nguoi-nay-nang-cap-khach-san-thue-luat-su-176251115095344993.chn

Page Load Overview

71.27s
Total Load Time
249
HTTP Requests
47
Domains
7.8 MB
Total Size

Language Analysis

Primary Language

🇻🇳Vietnamese
Code: vi
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:vi
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:vi
Text Length:13,598 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting84% confidence
Type: static
Method: ml+structural

All Detected Categories

gambling betting
84%
adult content
80%
cryptocurrency blockchain
77%
phishing scam
75%
finance banking
52%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37142.250.186.110UnknownUnknown
4123.30.242.10UnknownUnknown
4123.30.151.76UnknownUnknown
4123.30.151.79UnknownUnknown
4216.58.206.72UnknownUnknown
4142.250.185.174UnknownUnknown
4123.30.151.80UnknownUnknown
4157.240.0.6UnknownUnknown
4123.30.151.75UnknownUnknown
442.112.37.35UnknownUnknown
24954--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7D42B315590201DA2B3C075BA527A8D7131F503E6434AB5FB5CA92DCFEA1E639A2FCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:kt5EUbJO8BMEhC6HfgSCpa4PGX8MAIMAfx90GhHVkXtAXVZxq/8p:q5EUbJO8BME0i2a4PGX5bxq/g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:605772:g4wQgCCKgcSz4BpQklUQQhoQkIFcMMhTaBiDQIRD4IFyaIPDg4CGtSoCAAABCCILCkilloq0eGQ7ISABEEuJAYExjDaDIIQk

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:ff00ffffffc7c7c7
Perceptual Hash:b0cd31cc99b0cdcd
Difference Hash:1616403c2c9c9d9d
Wavelet Hash:cb007f071f074747
Color Hash:#86582d

Scan History

Scan history not available

Unable to load historical scan data