Security Scan Report: stickersapp.vercel.app

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Submitted: Sep 23, 2026, 1:51:13 PMCompleted: Sep 23, 2026, 1:52:37 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Instagram login page on vercel.app harvesting credentials, with Google Safe Browsing Social Engineering flag and a phishing threat-intel match. Do not enter any credentials.

Risk Factors (5)
Impersonation of Instagram/Meta brand on a non-official domain
Credential capture form (password + username/email) presented as a brand login
Google Safe Browsing Social Engineering detection
Threat-intelligence phishing flag on the primary domain
Unranked domain on a shared free hosting platform with unknown tenant age
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) with subdomain 'stickersapp'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. It segments into two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

4.41s
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
34%
news media journalism
31%
e-commerce shopping
30%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
52--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E31DD5048F10DBB4242D6A07A61EA1D6E81E903DF4B590435FC47D9AFDBE93C85308D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kN2wjeeMuZLNLO+gAMNEla+0ugDMcCjFcmAoHVI:Mp6iLk+aaI+2xCCmx2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1663: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:#40bf62

Other Hashes

Crop Resistant:0010284c0c280000

Scan History

Scan history not available

Unable to load historical scan data