Security Scan Report: stickersapp.vercel.app

Site favicon
Submitted: Jul 18, 2026, 7:50:03 AMCompleted: Jul 18, 2026, 7:51:13 AMpubliccompleted
Loading additional data...

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: https://stickersapp.vercel.app/

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

The site impersonates Instagram, hosts a login form, and is flagged by Safe Browsing – treat as high‑risk phishing.

Risk Factors
Credential collection form on impersonated brand
Untrusted subdomain on Vercel hosting
Lack of domain reputation
Social engineering safe‑browsing 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 name 'stickersapp.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'stickersapp'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.23s
Total Load Time
5
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
5216.198.79.3United States
AS16509Amazon.com, Inc.
51--

Detected Technologies3

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:#d22d61

Other Hashes

Crop Resistant:0010284c0c280000

Scan History

Scan history not available

Unable to load historical scan data