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Security Scan Report: snapchat.com

Redirected to: https://www.snapchat.com/@al.dosrii?locale=fr_MA&sid=d578a86bfa53469da9b3924c1008744d&share_id=J3Aygxb9SpSWYmuaUOHxVw&invite_id=wSCFh2At

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Submitted: Jan 18, 2026, 8:41:47 AMCompleted: Jan 18, 2026, 8:43:13 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 9 domains to perform 1 HTTP transaction. The main domain is snapchat.com and was registered NaN years ago.

Submitted URL: https://snapchat.com/t/s1qZ89Hu

Effective URL: https://www.snapchat.com/@al.dosrii?locale=fr_MA&sid=d578a86bfa53469da9b3924c1008744d&share_id=J3Aygxb9SpSWYmuaUOHxVw&invite_id=wSCFh2AtRedirected

The Cisco Umbrella rank of the primary domain is #299 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate Snapchat profile link; no security concerns detected.

Safety Factors
Official brand domain
Well‑established domain age
High Cisco Umbrella ranking
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

خالد الدوسري . (@al.dosrii) | Stories, Spotlight et Lenses Snapchat

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

social media network

(93%)

Domain Information

You're looking at domain 'snapchat.com' on the commercial generic top-level domain (.com). Count 8 characters in 'snapchat' holding two vowels versus 6 consonants. Tokenizing the label suggests 2 words: snap, chat. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snapchat.com/t/s1qZ89Hu

Page Load Overview

6.18s
Total Load Time
60
HTTP Requests
10
Domains
11.5 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-FR
Text Length:3,441 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network93% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
93%
entertainment media
34%
technology software
27%
corporate
25%
social media
15%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1035.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
1046.51.169.65Ireland
AS396982
103.163.248.4United States
AS16509AMAZON-02
1013.35.58.14IrelandUnknown
1034.149.130.113Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1034.149.46.130Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
606--

Detected Technologies3

Open-Graph-Protocolvwebsite
100%
HTTP/3
40%
React
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DAE36DB3E38060EAC10797E4D633A66471A710BFBB87C494E5ECCFA48B568ACD459C47

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DhhQ7uab6ibbIC8UPg2SKZZZbjCHHboiM0622E0IqMqkZyIti802s1o12s1oL2s5:q22QwazBUu6RwqnLA0vj13

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148665:BKpCgNNmAlAcMGYgiMAPlVxKkWhEIMgSCgAFAIAowRyQAVoMIiKA0iaggsyUjo5ACdICXDpaa45UhRAL3QAAGELMQBCzrWi5

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:e6ff73733337f7ff
Perceptual Hash:e475d913556405dd
Difference Hash:cc00e6e6c6c60640
Wavelet Hash:66fe22222222e3ff
Color Hash:#53ac6b

Other Hashes

Crop Resistant:cc00e6e6c6c60640

Scan History

Scan history not available

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