Security Scan Report: www.msngr.com

Redirected to:
https://www.messenger.com/rooms/
Submitted: Nov 26, 2025, 5:22:15 AMCompleted: Nov 26, 2025, 5:24:53 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is messenger.com and was registered NaN years ago.

Submitted URL: https://www.msngr.com/

Effective URL: https://www.messenger.com/rooms/Redirected

The Cisco Umbrella rank of the primary domain is #399,312 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Low risk; benign redirect from a typo‑squatted domain to the official site.

Risk Factors
Low ranking for a brand‑related domain (possible typo‑squatting)
Domain name closely mimics a well‑known brand (messenger.com) but is not the official domain
Safety Factors
Final URL is the legitimate messenger.com domain
Page displays a standard 404 message, no phishing content
Domain age is well‑established (over 27 years)
Domain age information unavailable

Details

Page Title

Messenger | Page Not Found

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Domain 'www.msngr.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'msngr' stretches across 5 characters holding zero vowels versus five consonants. Tokenizing the label suggests two words: msn, gr. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.msngr.com/

Page Load Overview

0.43s
Total Load Time
4
HTTP Requests
3
Domains
67 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
Text Length:735 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
64%
adult content
57%
government public service
34%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
2157.240.0.13Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f084:10d:face:b00c:0:2Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
12a03:2880:f084:105:face:b00c:0:3Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
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Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D33100268042700AF223AC847D71BB4AD307C20B851B89F5B9DE699BF3CD5215BB13CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:k+RDDnVDJ/QjlJqff/IpnVFhTlppNYAmLUNrTT87roFYUFgreNwKT87roFYUFgrE:V9j0Jq/Iph6U1TT87rQNVwKT87rQNr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1536:AgQAAABAAAAAAAAAQAgAAAgAAAAAAAAAAQAAAIAAAAAACAAgECUBAAAAQCABAAABAAIAAgAIAAEAAAAAgBAAAACAAIAQAAAU

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:ffe7e7e7c3ff81c3
Perceptual Hash:b3c619c9cc39c671
Difference Hash:324c4d4c16451313
Wavelet Hash:ffe38181c30081cb
Color Hash:#53a0ac

Scan History

Scan history not available

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