Security Scan Report: stickersapp.vercel.app

Redirected to:
https://stickersapp.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 6 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

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Instagram login on a vercel.app subdomain: it presents an Instagram-branded username/password form on a domain Instagram does not own, corroborated by a Google Safe Browsing Social Engineering hit and a phishing threat-intel report. Do not enter credentials.

Risk Factors (6)
Brand impersonation of Instagram on a non-official domain (vercel.app subdomain)
Credential capture form (username/email + password) presented as an Instagram login
Google Safe Browsing Social Engineering detection
Threat-intel phishing report on the primary domain
Unranked, unknown-age shared-hosting subdomain unsuitable for a major brand's login
Network IDS alerts for actor-abused cloud hosting service domain (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'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.53s
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
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
63--

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:#e0836c

Other Hashes

Crop Resistant:0010284c0c280000

Scan History

Scan history not available

Unable to load historical scan data