Security Scan Report: stickersapp.vercel.app

Redirected to:
https://stickersapp.vercel.app/
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Submitted: Jul 18, 2026, 7:50:02 AMCompleted: Jul 18, 2026, 7:51:12 AMpubliccompleted
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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 stickersapp.vercel.app and was registered NaN years ago.

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

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

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

High‑risk phishing site impersonating Instagram, collecting credentials on an unknown‑age Vercel subdomain.

Risk Factors
Brand impersonation
Credential harvesting form
Unranked / low‑reputation domain
Subdomain on hosting platform with unknown age
Google Safe Browsing phishing alert
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Language

🇺🇸

English

(64% confidence)

Category

social media network

(99%)

Domain Information

The domain 'stickersapp.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'stickersapp'. The core label 'vercel' covers 6 characters with two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://stickersapp.vercel.app

Page Load Overview

0.32s
Total Load Time
6
HTTP Requests
1
Domains
247 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:64%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:64%
Script Type:Latin
Text Length:88 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
99%
entertainment media
54%
technology software
34%
news media journalism
31%
e-commerce shopping
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.3United States
AS16509Amazon.com, Inc.
61--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15431DD5148F10DBB4242D6A07A61EA1D6E81E903DF4B594435FC4ADAAFDBE93C85308D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kN2wjeeMuZLNLO+gAMNEla+0ugDMcCjFcmAoHVI:Mp6iLk+aaI+2xCCmxW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1667:DIADAAAAgAgBABAAAACAAAAAAAAIAAAAAAASgAgABAABAADAQAIkAAAAAAAAAAAgiAAAAAA0ABgABwAAAAARAgAEAAAAAAEA

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:ffffe7e7e7ffffff
Perceptual Hash:b333cccc26339966
Difference Hash:0010284c0c280000
Wavelet Hash:03030707e3e3f3f3
Color Hash:#79b2d2

Other Hashes

Crop Resistant:0010284c0c280000

Scan History

Scan history not available

Unable to load historical scan data