Security Scan Report: vamoscruzazul.bolavip.com

Site favicon
Submitted: Nov 1, 2025, 5:53:28 AMCompleted: Nov 1, 2025, 5:55:23 AMpubliccompleted
Loading additional data...

Summary

This website contacted 222 IPs in 10 countries across 76 domains to perform 220 HTTP transactions. The main domain is vamoscruzazul.bolavip.com and was registered NaN years ago.

Submitted URL: https://vamoscruzazul.bolavip.com/ligamx/omar-campos-sorprendio-a-todos-y-se-estreno-como-goleador-en-el-cruz-azul-vs-puebla

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate sports news page; minor redirect oddity but no real threat.

Risk Factors
Circular redirect detected (potential URL manipulation)
Domain is UNRANKED in Cisco Umbrella (low reputation ranking)
Safety Factors
Long‑standing domain (over 15 years old)
Subdomain of reputable sports site bolavip.com
No password or payment collection forms
Transparent branding disclaimer
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Omar Campos se estrena como goleador en el Cruz Azul vs. Puebla

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

news media journalism

(67%)

Domain Information

The domain 'vamoscruzazul.bolavip.com' uses the commercial generic top-level domain (.com) and includes subdomain 'vamoscruzazul'. The core label 'bolavip' covers 7 characters split between 3 vowels and 4 consonants. Word splitting yields 2 words: bola, vip. Median word length comes out to 3.5 characters. 'bola' most often appears in Slovak. Secondary signals appear in Indonesian and Malay.

Screenshot

Security scan screenshot of https://vamoscruzazul.bolavip.com/ligamx/omar-campos-sorprendio-a-todos-y-se-estreno-como-goleador-en-el-cruz-azul-vs-puebla

Page Load Overview

53.75s
Total Load Time
220
HTTP Requests
76
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es-MX
Text Length:5,309 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism67% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
67%
corporate business
63%
government public service
62%
adult content
59%
social media network
56%

Detected Features

Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
220148.251.135.181Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
0142.250.186.106United States
AS15169GOOGLE
0135.181.218.100Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
023.35.229.251Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
03.174.46.14United States
AS16509AMAZON-02
0104.18.34.178United States
AS13335CLOUDFLARENET
0172.66.154.88United States
AS13335CLOUDFLARENET
0172.67.68.206United States
AS13335CLOUDFLARENET
0142.250.185.132United States
AS15169GOOGLE
065.9.66.122United States
AS16509AMAZON-02
220222--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193A42A7AA250D97EF93F18A2B0B4BE1C7006E247EA12C9F7F588811617C2DF55E6364C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:u7sHyWKc5DDBvoAqQM0BLk9FG8rb44cV158dKeXbmaMPHgi32bkH/Mw98cZfvVCB:H30Z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:487668:BhCXKWlkyIH2EYDSKDU6iBVwIEwHmoQAXyAGIlioQcyIMoGCAYLAVBBIEAGQwPAKgAGDggIASMwgLlnQyNFDbQWA5VmofJYp

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:ffffc3c3c3c3ffff
Perceptual Hash:b4439ac974677166
Difference Hash:000086969696062e
Wavelet Hash:00ffc3c3c3c3d383
Color Hash:#d22d6c

Scan History

Scan history not available

Unable to load historical scan data