ScanMalware.com

Security Scan Report: www.snapchat-web.vercel.app

Redirected to:
https://snapchat-web.vercel.app/
Submitted: Sep 2, 2026, 1:45:14 PMCompleted: Sep 2, 2026, 1:46:39 PMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/eecd961e-c03b-4995-8459-44e8a17c6b32Domain and IP registration (RDAP)/api/v1/rdap/eecd961e-c03b-4995-8459-44e8a17c6b32Certificate Transparency/api/v1/ct/snapchat-web.vercel.appHow often this domain was scanned/api/v1/domain/stats/snapchat-web.vercel.appScan history for this domain/api/v1/domain/history/snapchat-web.vercel.app?limit=15

This website contacted 8 IPs in 1 country across 5 domains to perform 8 HTTP transactions. The main domain is snapchat-web.vercel.app and was registered 14 years ago.

Submitted URL: http://www.snapchat-web.vercel.app/

Effective URL:

https://snapchat-web.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

The page impersonates Snapchat on an unranked Vercel subdomain, posing a high‑risk phishing threat.

Risk Factors (2)
Brand impersonation on an unranked domain
Hosted on a free subdomain platform with unknown page age
Domain age information unavailable

Details

Page Title

Snapchat

Scan Type

public

Domain Name Analysis

The domain 'www.snapchat-web.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'www.snapchat-web'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.snapchat-web.vercel.app/

Page Load Overview

4.46s
Total Load Time
161 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:718 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
technology software
76%
education learning
52%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.14.100Google · CDNUnited States
AS15169Google LLC
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1216.198.79.3United States
AS16509Amazon.com, Inc.
164.29.17.3United States
AS16509Amazon.com, Inc.
1143.204.181.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.14.102Google · CDNUnited States
AS15169Google LLC
1143.204.181.54Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
88--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T127A2F9D752F892D9D00AE3E4AD52943079736DF77B45C649724C5CE6AFA208C8D06CC7

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:g3dNhhFxp+Q/9j7bnnxZBnWIQV9zc881Ur/HN6EeD+za/Fx9y4d8MWi:g3dv77hWT81UbHNzeakxI4dd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22639:GecJ4CFEoewjAAJgAAYqCTQCvQCAkrgCSkacohLufNACJoCAgAYQH+RTCIjAIg9CKAj9AAMahNKOm4BCjEHYDgCkkggEFoJp

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:fdffff9fb3bf9f00
Perceptual Hash:9dc072ee629f42e8
Difference Hash:89967474567670d1
Wavelet Hash:e0f29e9e92b39f00
Color Hash:#2dd285

Other Hashes

Crop Resistant:89967474567670d1,9fb5b5b1b3b33231,4525c1fdc5c50157,1101317379010901

Scan History

Scan history not available

Unable to load historical scan data