Security Scan Report: igfun.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 3 countries across 4 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Fake Instagram login page on igfun.vercel.app that harvests entered usernames and passwords and exfiltrates them to a Discord webhook; Safe Browsing confirms social engineering.

Risk Factors (5)
Credential exfiltration to an external domain (Discord webhook)
Instagram brand impersonation on an unrelated, unranked domain
Google Safe Browsing Social Engineering detection
Phishing login form harvesting username/email + password
Free hosting-platform subdomain used as phishing infrastructure
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

The domain 'igfun.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'igfun'. The core label 'vercel' covers 6 characters holding 2 vowels versus 4 consonants. It segments into 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 https://igfun.vercel.app/

Page Load Overview

3.87s
Total Load Time
256 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Text Length:159 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
89%
technology software
32%

Detected Features

Login Form
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
1157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1109.234.161.80France
AS50474O2switch SAS
65--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T108A1217714E558374B02D0992A662A3CAD63C05BEDC95D40B19C4B9EBF83E978C0754F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:jjYE8LRJGZkGbBaHKUU6mGe7Df/wcwTjTlNiCr49NpCsdzplpZXXdHBdHZbXBg7N:j0hPGbDtnCvloSY0DC1CkncA5Qqjoj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5016:gKEISgAAAAkQAEAgIQAQAFATBEAOAICAwUAkOaBkAETUhCFFQQISEBAFASRYYBCEEgIIBoIAPCFCEJQAYiASMAmBwEIiMECg

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:ffffffe7e7ffffc3
Perceptual Hash:b3cd98c6336698cc
Difference Hash:0010304c4c00000a
Wavelet Hash:01191901cdc5cfc3
Color Hash:#b7bf40

Other Hashes

Crop Resistant:0010304c4c00000a

Scan History

Scan history not available

Unable to load historical scan data