Security Scan Report: www.elinformador.us

Submitted: Completed: publiccompleted
This website contacted 39 IPs in 4 countries across 33 domains to perform 161 HTTP transactions. The main domain is elinformador.us and was registered 13 years ago.

Submitted URL: https://www.elinformador.us/noticias/tormenta-tropical-isaias-podria-convertirse-en-primer-huracan-de-la-temporada/

AI Security Verdict

Safe Website

Confidence: 82%

1
Risk Score

Established 13-year-old Spanish-language South Carolina newspaper serving a weather article. No credential/payment forms, no impersonation, no malware or phishing signals; threat-intel hits are generic abuse-reputation only.

Safety Factors (5)
Established 13-year-old domain (5080 days) with legal/copyright and privacy policy information
Article/news page (og:type article) reporting weather news with a named author and publication date
No credential or payment forms — no password or card fields anywhere in the captured DOM
No malware, phishing, YARA, IDS or Safe Browsing signals
All cross-origin script hosts are ranked analytics/advertising/CDN services (WordPress.com, OneSignal, Parsely, Flipp, Google ads)
Domain age information unavailable

Details

Page Title

Isaias podría convertirse en primer huracán de la temporada

Scan Type

public

Domain Name Analysis

The domain 'www.elinformador.us' uses the United States country-code top-level domain (.us) with subdomain 'www'. Count 12 characters in 'elinformador' with 5 vowels and 7 consonants. Word splitting yields 4 words: elin, for, mad, or. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.elinformador.us/noticias/tormenta-tropical-isaias-podria-convertirse-en-primer-huracan-de-la-temporada/

Page Load Overview

3.56s
Total Load Time
3.3 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:4,652 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network98% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
98%
news media journalism
90%
healthcare medical
81%
entertainment media
75%
forum community discussion
74%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9192.0.78.25San Francisco, California, United States
AS2635Automattic, Inc
4192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
4192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
452.222.214.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4192.0.73.2San Francisco, California, United States
AS2635Automattic, Inc
4192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
4192.0.66.2San Francisco, California, United States
AS2635Automattic, Inc
4104.16.160.145Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
488.198.43.18Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
413.35.58.32Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
16139--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116042CF796DC5D7B15662BC8E8DAB32871AE9105DB0288C1F6FA85789380EF07C71709

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3Hi5voSUgZTlKd59pkBMn+AWAQASWEGTAKfAy/AaoRAwGor0zbZfatusAaCAgWdC:3He16thbFsXTMJ80ypIxQ2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:186644:ICAwK2YFABYQQJkLBiMKAkfKCLCQFGgCrPIL4AJKoUChArFoGSiwAAAAQJBUUsGKCtMqBVBma0EgYHLkAgAsAZA6BwhHAASO

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:18ffffffffc3c3c3
Perceptual Hash:b9ce4c194e1974cb
Difference Hash:b0b40a3b03969696
Wavelet Hash:0090ff83fbc3c3c3
Color Hash:#b279d2

Scan History

Scan history not available

Unable to load historical scan data