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Security Scan Report: stickersapp.vercel.app

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Submitted: Completed: publiccompleted

Summary

API
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Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/a653aeb0-ea8c-4083-a57d-ab9096af9d77Domain and IP registration (RDAP)/api/v1/rdap/a653aeb0-ea8c-4083-a57d-ab9096af9d77How often this domain was scanned/api/v1/domain/stats/stickersapp.vercel.appScan history for this domain/api/v1/domain/history/stickersapp.vercel.app?limit=15
This website contacted 3 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Instagram login page on a vercel.app subdomain harvesting usernames and passwords; flagged by Google Safe Browsing for social engineering and by threat-intel as phishing. Do not enter credentials.

Risk Factors (5)
Credential-harvesting login form impersonating Instagram on an unrelated vercel.app subdomain
Google Safe Browsing Social Engineering detection
Instagram/Facebook brand impersonation on a domain that does not belong to Meta
Free shared-hosting subdomain (vercel.app) with unknown creation date, no legitimate content, no legal/about pages
Network IDS alerts for actor-abused cloud hosting service (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

Domain 'stickersapp.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'stickersapp'. Count 6 characters in 'vercel' split between 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

nstagrom Phone number, username, or email Password OR Log in With Facebook Forget password? Don't have an account? Sign up

Page Load Overview

0.27s
Total Load Time
251 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
33%
news media journalism
31%
e-commerce shopping
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
53--

Detected Technologies3

PasswordField
100%
Vercel
40%
HSTS
40%

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:N/A

Other Hashes

Crop Resistant:0010284c0c280000

Scan History

Scan history not available

Unable to load historical scan data