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Security Scan Report: ambinod-i2tec.pages.dev

Submitted: Nov 18, 2025, 8:23:37 AMCompleted: Nov 18, 2025, 8:25:32 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is ambinod-i2tec.pages.dev.

Submitted URL: https://ambinod-i2tec.pages.dev/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

Legitimate community site with no apparent security threats.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise detected
No brand impersonation or typosquatting observed
Domain age information unavailable

Details

Page Title

Ambinod - Portal de condiciones ambientales por i²TEC UNL<

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain 'ambinod-i2tec.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'ambinod-i2tec'. Its registrable label 'pages' stretches across 5 characters holding two vowels versus three consonants. Breaking it apart gives 1 word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ambinod-i2tec.pages.dev/

Page Load Overview

30.14s
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:765 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
57%
adult content
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3188.114.96.3United States
AS13335CLOUDFLARENET
0188.114.97.3United States
AS13335CLOUDFLARENET
02a06:98c1:3120::3United States
AS13335CLOUDFLARENET
02a06:98c1:3121::3United States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F82D82863D0163711474AE1B624FF6EF1DBD2CECA27E15CB1B8C2D197CAC54CE856A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:2aFG8qtQLSKIKTHUvNtwNEWJVSInrUEDP6vZu5Ywd4WgDoJ46aTgs:jFG8mQeKb7UIVJVrngyP+c5Ll5xs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18579:lyDCKSLQWsDQiRrgUQBQKQ0AYcTSAzQfUuSAEhIiIgGsBAAZeICoEAGMjOIBQExIERg6gSYCSC9JhVtAIKUJoRIx4KOUoGIH

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:00406d4e05191941
Perceptual Hash:92726d2d3692cb2b
Difference Hash:719d89888db331d5
Wavelet Hash:01416d4f077f195f
Color Hash:#867b2d

Scan History

Scan history not available

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