Security Scan Report: www.snapchat.com

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Submitted: Oct 11, 2025, 10:16:28 AMCompleted: Oct 11, 2025, 10:17:07 AMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 8 domains to perform 69 HTTP transactions. The main domain is snapchat.com and was registered NaN years ago.

Submitted URL: https://www.snapchat.com/@kimkardashian?locale=en-US

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Snapchat profile with no security concerns.

Safety Factors
Official brand domain
Established domain age
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Kim Kardashian (@kimkardashian) | Snapchat Stories, Spotlight & Lenses

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(38%)

Domain Information

Domain 'www.snapchat.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The second-level label 'snapchat' is 8 characters long split between 2 vowels and 6 consonants. It segments into 2 words: snap, chat. The median word length lands at 4 characters. Most frequently, 'snap' shows up in Dutch. Secondary signals appear in English and French.

Screenshot

Security scan screenshot of https://www.snapchat.com/@kimkardashian?locale=en-US

Page Load Overview

15.05s
Total Load Time
69
HTTP Requests
8
Domains
11.4 MB
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-US
Text Length:2,989 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software38% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
38%
social media network
34%
entertainment media
28%
corporate
25%
social media
15%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1813.35.58.69United States
AS16509AMAZON-02
313.35.58.14United States
AS16509AMAZON-02
33.163.248.4United States
AS16509AMAZON-02
334.246.65.194Dublin, Leinster, Ireland
AS16509AMAZON-02
313.35.58.13United States
AS16509AMAZON-02
334.149.46.130Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
334.86.118.39Washington, District of Columbia, United States
AS396982GOOGLE-CLOUD-PLATFORM
313.35.58.72United States
AS16509AMAZON-02
335.190.43.134United States
AS396982GOOGLE-CLOUD-PLATFORM
32600:9000:2359:fc00:10:7d36:1700:93a1United States
AS16509AMAZON-02
6918--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152E35BB7D34060ABC503C7D4A536BA64709B10BFAA86C4A5F5ECCFB49B139ADD528C07

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:bv1XYHb0PiibI78yzgdSKZHEW++8FIVWa0Sl1WwsRkvDlTdxf0OqMGk9yUtio026:Rl4VcDBX8Ov9Uu63TDxJb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:147901:RCa5BBcimYTAYqQoJECOIEACIOEoJIQFBBAIMQB+ZtUNmgkAPLggAyAEAAoJDlhIPLLW7SkaEYDMcBosQDIJgYRocEyEXEEC

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:66c74b4f3f7fffff
Perceptual Hash:8175ff0457f4044f
Difference Hash:8c1cd29ec0d08000
Wavelet Hash:06c600063e3e7ffe
Color Hash:#931f5b

Other Hashes

Crop Resistant:8c1cd29ec0d08000

Scan History

Scan history not available

Unable to load historical scan data