Security Scan Report: locomag.com

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Submitted: Oct 9, 2025, 12:26:44 AMCompleted: Oct 9, 2025, 12:27:18 AMpubliccompleted
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Summary

This website contacted 28 IPs in 2 countries across 11 domains to perform 70 HTTP transactions. The main domain is locomag.com and was registered NaN years ago.

Submitted URL: https://locomag.com/long-live-alex-russo/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
No external links to suspicious domains
Content appears legitimate and non‑phishing
Domain age information unavailable

Details

Page Title

Long Live Alex Russo – Loco Mag

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(90%)

Domain Information

The domain 'locomag.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'locomag' spans 7 characters split between 3 vowels and 4 consonants. Word splitting yields two words: loco, mag. Median word length is 3.5 characters. 'loco' most strongly signals Dutch. You will also see it in German and Spanish contexts. Overall, 'locomag.com' reads as Dutch.

Screenshot

Security scan screenshot of https://locomag.com/long-live-alex-russo/

Page Load Overview

8.47s
Total Load Time
70
HTTP Requests
11
Domains
762 KB
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-US
Text Length:6,560 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning90% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
90%
adult content
77%
entertainment media
66%
news media journalism
60%
documentation technical
45%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.17.25.14United States
AS13335CLOUDFLARENET
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2172.66.0.227United States
AS13335CLOUDFLARENET
218.66.147.8United States
AS16509AMAZON-02
2146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2192.185.16.92United States
AS19871NETWORK-SOLUTIONS-HOSTING
2142.250.185.234United States
AS15169GOOGLE
2192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
2142.250.186.163United States
AS15169GOOGLE
2192.0.73.2San Francisco, California, United States
AS2635AUTOMATTIC
7028--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137C3C5F7182C1879435A738A45DD7B1CEA535212CE669EE1B3FCD698D380FA258F7208

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vQpvapDYDiuS/0mbvJoZg+6Kir/AgPBBSu2n8IwkGdX54tg5zDgwlVNSfDOr:vQMN4iyFgDdXqS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123564:Th4LRAmKAEy0Ciwg+BIBEC4IAFS8FSR2tEDeAwIEgqCMgAwSKBSEKLAiRECZcVnpzCRhECgASBgcVogCFI0YaABIANBhAjgG

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:c7ffffc7878787c7
Perceptual Hash:b6c9c3364138cf3a
Difference Hash:dc1c801e2e2d2f0d
Wavelet Hash:00efff8383878387
Color Hash:#78663a

Scan History

Scan history not available

Unable to load historical scan data