Security Scan Report: defonline.com.ar

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Submitted: Completed: publiccompleted
This website contacted 34 IPs in 4 countries across 22 domains to perform 301 HTTP transactions. The main domain is defonline.com.ar.

Submitted URL: https://defonline.com.ar/seguridad/cartel-de-sinaloa-la-historia-de-la-banda-criminal-mas-longeva-de-mexico/

AI Security Verdict

Safe Website

Confidence: 86%

1
Risk Score

Argentine news article about the Sinaloa Cartel on a self-branded news domain; no forms, no impersonation, no Indicators of Compromise or malware signals.

Safety Factors (5)
Established news-site structure with rich editorial content and internal navigation
No credential or payment forms on the page
No threat-intelligence, hunting rule, kit-roster or IDS matches
Hidden link blocks point only to the site's own social profiles (Facebook, Instagram, X, LinkedIn, WhatsApp, YouTube, Telegram) — normal collapsed share bar
No brand impersonation; site displays its own brand consistent with the domain
Domain age information unavailable

Details

Page Title

Cártel de Sinaloa: la historia de la banda criminal más longeva de México

Scan Type

public

Domain Name Analysis

Within the Argentine country-code top-level domain (.com.ar), 'defonline.com.ar' is registered with no subdomain. The second-level label 'defonline' is 9 characters long with 4 vowels and 5 consonants. Splitting it apart reveals 2 words: def, online. Average segment length settles at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

17.5 ° BUENOS AIRES 27/10/2026 DEFTY STAFFEDITORIAL QUÍENESSOMOS CONTACTO TIENDA DX GX f Gin [icresmacionaces CE BE cecUROAOBRCIENCIA TeCNOLOCIAMR (UNO (HUYE GEA QUE fay Inicio > Seguridad » Cárte...

Page Load Overview

3.16s
Total Load Time
9.5 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:63%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:96,223 chars
Detector Agreement:80%
Language mismatch: Declared as en-US but detected as es

Website Classification

Primary Category

news media journalism95% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
95%
news/blog
50%
government public service
45%
corporate
35%
e-commerce shopping
35%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37162.159.135.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8142.250.154.95Google · CDNUnited States
AS15169Google LLC
8142.250.154.97Google · CDNUnited States
AS15169Google LLC
8142.251.127.157Google · CDNUnited States
AS15169Google LLC
8142.251.20.94Google · CDNUnited States
AS15169Google LLC
8216.239.34.36Google · CDNUnited States
AS15169Google LLC
8142.251.14.102Google · CDNUnited States
AS15169Google LLC
8142.251.110.132Google · CDNUnited States
AS15169Google LLC
8142.251.127.155Google · CDNUnited States
AS15169Google LLC
8216.239.32.36Google · CDNUnited States
AS15169Google LLC
30134--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD85C627F4E10A37D3A785E4926BB33D777C890EEBC44CB0E88A672D4785ED6121918D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Ouz/y/u3jGZZxbVW1DcpYNkYT0rziYv0TzzYs04zze/DcpYN4YB0VzZY60ezVYCs:OLSHUoMdoMjl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1706279:BYcWUEAIIhlCIjIQ4CBEIRgARARINi4FV6JRZ0imU7DAMiTKQirABO0VhFiQIGqwiISWxDERRCoGzSgAFmYyAORkINBBiEKw

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:bf00dfffff83839b
Perceptual Hash:bcc30d259e2db2c6
Difference Hash:7273393d3f0b233b
Wavelet Hash:bf00ccdfff810183
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data