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

Redirected to:
https://instagram-lilac-two.vercel.app/
Submitted: Sep 29, 2026, 12:45:38 AMCompleted: Sep 29, 2026, 12:47:23 AMpubliccompleted

This website contacted 2 IPs in 1 country across 2 domains to perform 4 HTTP transactions. The main domain is instagram-lilac-two.vercel.app and was registered 6 years ago.

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

Effective URL:

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

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Instagram login page on a vercel.app subdomain harvesting usernames and passwords via an external form-handling service. Classified as credential phishing; do not enter any credentials.

Risk Factors (5)
Instagram-branded credential login form hosted on an unrelated vercel.app subdomain
Password field present and posting to an external form-handling service (submit-form.com), consistent with credential harvesting
Brand impersonation of a different entity (Instagram/Meta) with no legitimacy of domain ownership
Domain unranked in Cisco Umbrella with no reputation for the actual page
Instant free hosting namespace with unknown page creation date
Domain age information unavailable

Details

Page Title

instagram

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.instagram-lilac-two.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www.instagram-lilac-two'. Count 6 characters in 'vercel' containing 2 vowels alongside four consonants. It segments into 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 http://www.instagram-lilac-two.vercel.app/

Page Load Overview

8.72s
Total Load Time
3 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
2216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
42--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1029185E362A91D512B4BD57439C3AB1072588013560BDB787EFC10AC8FCDB965AB378C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TFJEFCJU2C6xM0CkF+sfxMzyrju1xt99TdInbHjyu94r8h95giHpewBibVibJ20:vE4C2eKHqD9TmbDyPr09OiH4wBiRiN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4369:USIAIWEgAgACJAFAAgAAMghIAIEgBA0AOAAOgAAUQBYQRIBkGCAkgQSiTAGAAEAQAAUIgQKBqDBEAABAQAQAAEgKiCQAAFQA

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:#e06c6c

Other Hashes

Crop Resistant:0000304c4c300800

Scan History

Scan history not available

Unable to load historical scan data