Security Scan Report: www.trensurb.com.br

Redirected to: https://www.trensurb.com.br/

Submitted: Dec 12, 2025, 4:45:47 PMCompleted: Dec 12, 2025, 4:46:53 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is trensurb.com.br and was registered NaN years ago.

Submitted URL: http://www.trensurb.com.br/

Effective URL: https://www.trensurb.com.br/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate but currently misconfigured; no security threats detected.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No credential or payment collection forms
Site appears to be a legitimate public transport organization
Domain age information unavailable

Details

Page Title

Default Site

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(39%)

Domain Information

Domain 'www.trensurb.com.br' uses the Brazilian country-code top-level domain (.com.br), featuring subdomain 'www'. The second-level label 'trensurb' is 8 characters long holding 2 vowels versus six consonants. Word splitting yields 3 words: tren, sur, b. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.trensurb.com.br/

Page Load Overview

6.47s
Total Load Time
3
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:241 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3177.72.111.254Porto Alegre, Rio Grande do Sul, Brazil
AS268671RL NET INTERNET
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7118667D3F1005642D152D55CC4B22C8FA1804BC7474819BE2EA76D8F1AD93D5A7494

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nYEePPwNAaqgZ8Or5PHDVc2wwRtqavptZ:ng4mVgZ75PHDPwmIqTZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1012:AAAAAAACAAEAAAAAAQAAYAAABEAAACBAACAAAACAAAIAAAAAACAQBIAAAAAAAAAAAgAQAAAIAAAAAABABAACBAAAAAIAAMAA

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:3f1fffffffffffff
Perceptual Hash:81010103f3fffdf8
Difference Hash:e0e0000000000000
Wavelet Hash:3010f0f0f0f0f0f0
Color Hash:#4079bf

Other Hashes

Crop Resistant:e0e0000000000000

Scan History

Scan history not available

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