Security Scan Report: vercel1c7e346235f63d5a.vercel.app

Submitted: Jul 1, 2026, 7:44:43 PMCompleted: Jul 1, 2026, 7:46:14 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is vercel1c7e346235f63d5a.vercel.app and was registered NaN years ago.

Submitted URL: https://vercel1c7e346235f63d5a.vercel.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Deployment Paused

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(66%)

Domain Information

You're looking at domain 'vercel1c7e346235f63d5a.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'vercel1c7e346235f63d5a'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vercel1c7e346235f63d5a.vercel.app/

Page Load Overview

0.19s
Total Load Time
2
HTTP Requests
1
Domains
2 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:94 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service66% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
66%
cryptocurrency blockchain
63%
news media journalism
59%
healthcare medical
58%
real estate property
53%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.131United States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1813196B755B1702DF33B88FE34E673642204811BC0920F49B618BBB4E2D7DB65023344

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR01AUJXgZH+6n9zS3rJGm9q8hDH48OFFxnrFA+Dclgz9Dln38yRL48Ap749ta:TGoZ9S3dGNGDY7nnrm+AgJJ8E0X7g0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1653:BAAUAABACAAAAABAIAAgAIAIAACABAEIAACAgIIAAAAAAAADAEiAAAAgAQAGAIgAIIIAAAgAAAgAOAAAABAAAAAAAEAAQAAA

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:ffffffe7e7ffffe7
Perceptual Hash:e699cc996699cc89
Difference Hash:0000000c0c00000c
Wavelet Hash:3f3f3f27243c3820
Color Hash:#c587bd

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

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