Security Scan Report: instagram-lilac-two.vercel.app

Redirected to:
https://instagram-lilac-two.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://instagram-lilac-two.vercel.app/

Effective URL:
https://instagram-lilac-two.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Instagram login page on a free vercel.app subdomain that harvests username/password and POSTs it to submit-form.com. Brand impersonation plus credential exfiltration — confirmed phishing.

Risk Factors (6)
Brand impersonation of Instagram/Meta login UI on a non-official .vercel.app subdomain
Credential harvesting form (username + password) submitting to an external form-backend service (submit-form.com)
Primary domain flagged as phishing by PhishDestroy (single-source, unverified)
IDS alerts: ET TA_ABUSED_SERVICES — vercel.app abused cloud hosting observed in DNS/TLS SNI (MEDIUM, generic hosting-abuse context)
Unranked, unknown-age free hosting subdomain using a lookalike naming pattern ('instagram-lilac-two')
Fake 'Sign up' and 'Need help?' links are dead placeholders (href='#')
Domain age information unavailable

Details

Page Title

instagram

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'instagram-lilac-two.vercel.app' is registered, featuring subdomain 'instagram-lilac-two'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Instagram Username password oR Continue with Facebook Need help? Don't have an account? Sign up

Page Load Overview

0.76s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:96 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network96% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
96%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CF9195E362A90D512B4BD57435C3AB10725880135A0BDA787EFC10AC8FCDB925AB378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nFJEFCJU2C6xM0CkF+sfxMzyrju1xt99TdInbHjyu94r8h95giHpewBibVibJ20:zE4C2eKHqD9TmbDyPr09OiH4wBiRiN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4354:QAmCNCFAQgALYAAMARCACAQAQgAAAJBQABaACVQEICCMIUBWAIAEAEBKAAwoogFQDACEDogASoASQOlSgZABEEAACAAgIBEE

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:ffffffe7e7ffe7ff
Perceptual Hash:b38c8c993333ccce
Difference Hash:0000304c4c300800
Wavelet Hash:0f0f070707070f0f
Color Hash:N/A

Other Hashes

Crop Resistant:0000304c4c300800

Scan History

Scan history not available

Unable to load historical scan data