Security Scan Report: bitacora.com.uy

Submitted: Nov 25, 2025, 2:18:50 PMCompleted: Nov 25, 2025, 2:20:53 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is bitacora.com.uy.

Submitted URL: https://bitacora.com.uy/elle-duncan-de-espn-se-unira-a-netflix-como-la-cara-de-la-cobertura-deportiva-del-streamer/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

The site shows a news article with no phishing or malicious elements.

Safety Factors
Absence of credential or payment collection forms
No known malicious Indicators of Compromise
Page content is informational/news‑style
Domain age information unavailable

Details

Page Title

Elle Duncan de ESPN se unirá a Netflix como la 'cara' de la cobertura deportiva del streamer - bitacora.com.uy

Scan Type

public

Language

🇪🇸

Spanish

(49% confidence)

Category

cryptocurrency blockchain

(68%)

Domain Information

You're looking at domain 'bitacora.com.uy' on the Uruguayan country-code top-level domain (.com.uy) while skipping any subdomain. The registrable portion 'bitacora' spans 8 characters holding four vowels versus four consonants. It segments into three words: bit, a, cora. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bitacora.com.uy/elle-duncan-de-espn-se-unira-a-netflix-como-la-cara-de-la-cobertura-deportiva-del-streamer/

Page Load Overview

0.49s
Total Load Time
10
HTTP Requests
2
Domains
154 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:49%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:6,193 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

Website Classification

Primary Category

cryptocurrency blockchain68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
68%
news media journalism
60%
entertainment media
52%
adult content
49%
news/blog
35%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
992.113.16.49Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
192.113.23.75Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
192.113.16.246Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
187.248.119.251United Kingdom
AS203220Yahoo-UK Limited
187.248.119.252United Kingdom
AS203220Yahoo-UK Limited
12a02:4780:45:7062:d7ba:1580:b60a:38b8Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
12a00:1288:80:807::2United Kingdom
AS203220Yahoo-UK Limited
12a02:4780:43:6acd:eb7f:bcfc:3fd0:347Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
12a00:1288:80:807::1United Kingdom
AS203220Yahoo-UK Limited
109--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19873C0F3849C716D27B5D2AE8D42BD1FA18370CE9842A9EFF299450D7E4E7EE44014CA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:sMmXIUqrP8/T0uZdapzaLz17Kg/TU4jOT7n4BfnSKb8gZyU9s6N8xdQK/fFngalq:svpapaSc6U8TQQVgaO+67iR+z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:77989:AYhBjAIgYCU+gRAgBJEpSWqBIBAy0SAsqJheCalDAgAowEqiKkFB4wgCRJVAZSLmDQAZZjDRCBgVAzQJQMJLcEBhAEBi0qjk

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:ffcf87878787ffff
Perceptual Hash:b6b0c9c799c63631
Difference Hash:222c2e2e2f2f2e3a
Wavelet Hash:ff8783878383838b
Color Hash:#d2a079

Scan History

Scan history not available

Unable to load historical scan data