Security Scan Report: redistribution-support.com

Redirected to: https://www.lemonde.fr/

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Submitted: Oct 14, 2025, 6:52:56 PMCompleted: Oct 14, 2025, 6:53:48 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 9 domains to perform 70 HTTP transactions. The main domain is lemonde.fr.

Submitted URL: https://redistribution-support.com/as.php

Effective URL: https://www.lemonde.fr/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Redirect from a new, unranked domain to Le Monde; likely safe but monitor for abuse.

Risk Factors
The initial domain (redistribution-support.com) is newly registered and unranked in Cisco Umbrella
Use of an obscure redirect domain that could be used for tracking or malicious redirection
Safety Factors
Final destination is the legitimate, high‑reputation news site Le Monde
Page content matches the official Le Monde branding and metadata
Domain age information unavailable

Details

Page Title

Le Monde.fr - Actualités et Infos en France et dans le monde

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

finance banking

(93%)

Domain Information

The domain 'redistribution-support.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'redistribution-support' spans 22 characters with eight vowels and 13 consonants, along with 1 hyphen. Breaking it apart gives two words: redistribution, support. Average segment length settles at 10.5 characters. The linguistic tilt is Chinese (Pinyin) for 'redistribution'. Usage also turns up in English and Danish contexts. Net impression: Chinese (Pinyin) phrase with character flair.

Screenshot

Security scan screenshot of https://redistribution-support.com/as.php

Page Load Overview

16.91s
Total Load Time
70
HTTP Requests
9
Domains
1.7 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:16,767 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking93% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
93%
news media journalism
80%
corporate business
62%
gambling betting
61%
cryptocurrency blockchain
26%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6158.94.209.86United States
AS209800metaspinner net GmbH
6146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6172.67.212.172United States
AS13335CLOUDFLARENET
618.245.86.69United States
AS16509AMAZON-02
623.37.197.145London, England, United Kingdom
AS16625AKAMAI-AS
62606:4700:3037::6815:25c1United States
AS13335CLOUDFLARENET
618.245.86.111United States
AS16509AMAZON-02
6104.21.37.193United States
AS13335CLOUDFLARENET
618.245.86.4United States
AS16509AMAZON-02
618.245.86.101United States
AS16509AMAZON-02
7011--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF74287175C42B3F91D384EABFA1376889159426C3D60A52F7FB9B984BCBDC5829320C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dr221FhrrT319SzbLSHh/f9hat0bkrRc6pdSwJTS5L+MoQ3okdIBI8Guq3Q/u7dF:dr221FVB9Szb6/fbkrMluqg/iikQ9mWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:355241:g4qAwA+hYWwRg0AEYQsBFIoAkEQJ2TUiQEFBiAECREgCgkYB/AsSM1AAAGYIQFHUYBSJjg0PFk5VEREPQsBGIgYRCGICADgW

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:ff0000ffffc3c7c7
Perceptual Hash:b0cf32edc7b24942
Difference Hash:0869d100929e8fae
Wavelet Hash:e70000ffcbc3c3c7
Color Hash:#9e6ce0

Scan History

Scan history not available

Unable to load historical scan data