Security Scan Report: stickersapp.vercel.app

Redirected to:
https://stickersapp.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://stickersapp.vercel.app

Effective URL:
https://stickersapp.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 0%

7
Risk Score

AI analysis skipped: HTTP 451 error page with no meaningful content to analyze.

Domain age information unavailable

Details

Page Title

Deployment Unavailable

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'stickersapp.vercel.app' is registered and includes subdomain 'stickersapp'. The second-level label 'vercel' is 6 characters long with two vowels and four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

This deployment is unavailable fral: :con8k-1794434155874- 6809741407

Page Load Overview

0.13s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service53% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
53%
news media journalism
52%
cryptocurrency blockchain
51%
healthcare medical
50%
real estate property
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1483174B746B1702EF63788FE34D637646204811BC0920F99B518ABB4E2C7CA65123685

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz7p0S0:nGi9ScnwEYeS0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1636:ABEAAAAAAAEAACYAAIAACAAAAAAICAAIAAAAAIIGQAQAAAAgABAIAACAAAAAIECAAAAABAwEAAAgAAQAAgAQIAAMAAAAAQAA

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:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:f0f0fce4243c3c24
Color Hash:07000000000

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data