Security Scan Report: www.metropoles.com

Submitted: Oct 22, 2025, 2:05:04 AMCompleted: Oct 22, 2025, 2:08:38 AMpubliccompleted
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Summary

This website contacted 133 IPs in 6 countries across 42 domains to perform 251 HTTP transactions. The main domain is metropoles.com and was registered NaN years ago.

Submitted URL: https://www.metropoles.com/esportes/futebol/independiente-del-valle-x-atletico-mg-onde-assistir-e-escalacoes

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

Site appears legitimate but contains an unusual password field; monitor for suspicious activity.

Risk Factors
Password field without username field (potential credential harvesting pattern)
Safety Factors
Long‑standing domain (over 20 years)
No malicious Indicators of Compromise detected
Content is a standard news article from a reputable media outlet
Domain age information unavailable

Details

Page Title

Independiente del Valle x Atlético-MG: onde assistir e escalações

Scan Type

public

Language

🇺🇸

English

(86% confidence)

Category

entertainment media

(89%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.metropoles.com' is registered; it also runs on subdomain 'www'. The registrable portion 'metropoles' spans 10 characters containing 4 vowels alongside 6 consonants. Breaking it apart gives 2 words: metro, poles. Median word length comes out to 5 characters. 'metro' is most common in English usage. It also appears in Tagalog and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.metropoles.com/esportes/futebol/independiente-del-valle-x-atletico-mg-onde-assistir-e-escalacoes

Page Load Overview

1.26s
Total Load Time
251
HTTP Requests
42
Domains
3.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:86%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:86%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:58,630 chars
Detector Agreement:100%
Language mismatch: Declared as pt but detected as en

Website Classification

Primary Category

entertainment media89% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
89%
social media network
84%
news media journalism
76%
gambling betting
66%
government public service
63%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11999.84.152.24United States
AS16509AMAZON-02
107104.26.8.195United States
AS13335CLOUDFLARENET
23179.191.182.65Offenbach, Hesse, Germany
AS52580Azion Technologies Ltda.
12216.239.34.36United States
AS15169GOOGLE
10185.111.111.157Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
103.15.36.77Columbus, Ohio, United States
AS16509AMAZON-02
1091.134.35.216France
AS16276OVH SAS
799.84.152.57United States
AS16509AMAZON-02
6151.101.1.229San Francisco, California, United States
AS54113FASTLY
5142.250.181.238United States
AS15169GOOGLE
251133--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2B4C731F540193F677B49C8B259D70A71C2A30FE59A4850D6E60B784BE5E38F82E2DB

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ny/IrHMIIL5oI50QjRbt9rb0S8ZGnFIYJRSyvQkssbd9zfdl4TdXnJ3hian9tUe1:ny/IrH4YQjuWJRSIkhi+18kiw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500727:DARyQBL0QIACYNqhHGIKQBwoBIWAsagB2YIYhQFE2hJlAAmJDiihJYCsiNoOHdkkhKBJDeyCATkILIAkogAABsMqQ6jEB4Cx

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:001818181898d800
Perceptual Hash:dc077678037c0f1d
Difference Hash:4f333232b233320c
Wavelet Hash:00181d3dbcfcdcc0
Color Hash:#5391ac

Scan History

Scan history not available

Unable to load historical scan data