Security Scan Report: www.infomigrants.net

Site favicon
Submitted: Sep 25, 2026, 7:03:38 PMCompleted: Sep 25, 2026, 7:04:14 PMpubliccompleted

This website contacted 17 IPs in 3 countries across 13 domains to perform 33 HTTP transactions. The main domain is infomigrants.net and was registered 9 years ago.

Submitted URL: https://www.infomigrants.net/ar/post/51963/france-to-support-italy-in-securing-its-border-against-illegal-migrants

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate established news site. Article page with self-branding, no forms collecting credentials or payment, and no threat intelligence, YARA, or behavioral indicators.

Safety Factors (5)
Domain age over 9 years
Self-branding detected: title/meta match the domain
News/article content with clear attribution to InfoMigrants
No credential or payment forms
No IoC, YARA, or Safe Browsing threats
Domain age information unavailable

Details

Page Title

France to support Italy in 'securing its border' against illegal migrants - InfoMigrants

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.infomigrants.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'www'. Count 12 characters in 'infomigrants' containing four vowels alongside 8 consonants. Tokenizing the label suggests 2 words: info, migrants. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.infomigrants.net/ar/post/51963/france-to-support-italy-in-securing-its-border-against-illegal-migrants

Page Load Overview

2.41s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

HTML Lang Attribute:ar
Text Length:6,133 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog70% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
70%
corporate
70%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
172.18.64.6Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12.18.64.24Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
12.16.183.14Akamai · CDNHamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
1157.240.0.63Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
123.207.210.95Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13.174.46.44Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
12.16.168.219Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1212.83.160.16Paris, Île-de-France, France
AS12876Scaleway SAS
3317--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DC2494BB9381B92DFB7E8305B560322872164166F625D9EB724E20C76B43DE3467F06C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:wt5Jzg5PS4v70u9lNkIYWB/dQn/MagLJJU:Cg34uhkIYCqn/NgLJO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:210865:gxBJHUs+6QQAaCGAEegAiRYBJ6MoZsChiQAAQgAhSCjSTkRgQIUQGKFyAJUDAKk71eJiCAOSEgMlQDoWXNANANhCCBLQAB87

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:f7c3c3dbc3e7ffe3
Perceptual Hash:e9699296cece9298
Difference Hash:0f96aab2a20e0206
Wavelet Hash:c1c3c3c3c3c3e3c3
Color Hash:#783a5e

Other Hashes

Crop Resistant:0f96aab2a20e0206

Scan History

Scan history not available

Unable to load historical scan data