Security Scan Report: lockers-mrelay-mobile.com

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

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Submitted: Oct 16, 2025, 10:41:20 PMCompleted: Oct 16, 2025, 10:42:49 PMpubliccompleted
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Summary

This website contacted 11 IPs in 3 countries across 7 domains to perform 72 HTTP transactions. The main domain is lemonde.fr.

Submitted URL: https://lockers-mrelay-mobile.com/

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Redirect from a suspicious, unranked domain to the legitimate Le Monde site; likely safe after redirect but initial domain is untrusted.

Risk Factors
Brand impersonation: page shows Le Monde branding while the domain is unrelated
Unranked, likely newly created domain used for redirect
Safety Factors
Final URL www.lemonde.fr is the official Le Monde domain
No malicious Indicators of Compromise detected
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Language

🇫🇷

French

(100% confidence)

Category

corporate business

(94%)

Domain Information

Domain 'lockers-mrelay-mobile.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Count 21 characters in 'lockers-mrelay-mobile' holding seven vowels versus twelve consonants, notching 2 hyphens. Breaking it apart gives 4 words: lockers, m, relay, mobile. Average segment length settles at 5.5 characters. Most frequently, 'locker' shows up in Chinese (Zhuyin). Secondary signals appear in Chinese (Simplified) and English. Overall, 'lockers-mrelay-mobile.com' reads as Chinese (Zhuyin) with character flair.

Screenshot

Security scan screenshot of https://lockers-mrelay-mobile.com/

Page Load Overview

51.48s
Total Load Time
72
HTTP Requests
7
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:100%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:48,916 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business94% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
94%
news media journalism
79%
government public service
37%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12223.29.226.200Pakistan
AS213441Slayer Group Limited
623.35.229.251Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
618.245.86.101United States
AS16509AMAZON-02
6172.67.212.172United States
AS13335CLOUDFLARENET
6146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
6104.21.37.193United States
AS13335CLOUDFLARENET
618.245.86.69United States
AS16509AMAZON-02
62606:4700:3034::ac43:d4acUnited States
AS13335CLOUDFLARENET
62606:4700:3037::6815:25c1United States
AS13335CLOUDFLARENET
618.245.86.111United States
AS16509AMAZON-02
7211--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEA43A71B5C02B3B51C380EABFA1376999198416C3DA4A51F7FF97884BCBDC5928325C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:yFxf9Szbq/ej5rOUOcfBmRLCuDNDc7Ne/vLh1kBROyCfH6sIiwwGg58VhuvwvDYu:g9SzbkJb1NHlO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:456697:pxp2oBABIA80EFAQCIEapMBAmOHgRxQENkJMCnQIHo0KpICAZYJLFyiMyJAUhGIALfX2UpgQomY9bECwwkQWuCAoIECAFUgC

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:00183c3c3c3c1c00
Perceptual Hash:99cf30e723986719
Difference Hash:0f717171716b319c
Wavelet Hash:e73c3c3c7c3c3c02
Color Hash:#87abc5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data