Security Scan Report: social-lift-five.vercel.app

Redirected to:
https://social-lift-five.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://social-lift-five.vercel.app/

Effective URL:
https://social-lift-five.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Instagram login on a vercel.app subdomain collects usernames/passwords and includes a Telegram bot token for exfiltration. Brand impersonation and credential phishing.

Risk Factors (5)
Impersonation of Instagram/Meta login branding on a non-official domain
Credential-harvesting form with username/email and password fields
Telegram bot token in page script indicating a data exfiltration channel
Free hosting subdomain with unknown creation date and no reputation
IDS alerts for actor-abused cloud hosting service domain
Domain age information unavailable

Details

Page Title

Instagram

Scan Type

public

Domain Name Analysis

Domain 'social-lift-five.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'social-lift-five'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Splitting it apart reveals two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

English (US) Username, email or mobile number. Password Forgot password? Create new account © Meta

Page Load Overview

2.41s
Total Load Time
107 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:70 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
news media journalism
47%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1157.240.0.174Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143B197131176186B7102C15877A2EB496B2A9113D545C628BFDC57D8CF8EAD28DB33DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nCuhI7Jmglqp7HZgRAQtyCyvfxozbJqcDK+owFNE0WFlcOKT1Y:nINmg0prZgRAQgCIfezbJhCKxY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5347:UwqEOCIiQgAQTZEYAhMaAFMDDKDAABRVAQSABABRAQIAQDGIIAIIAQIBEggQIpYKECESzfCoBYIVCGECRIQAIJoCEAQGEEyA

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:0000181818000000
Perceptual Hash:cc663399cc663399
Difference Hash:0010103232101000
Wavelet Hash:20383838f8f8f8f0
Color Hash:N/A

Other Hashes

Crop Resistant:0010103232101000

Scan History

Scan history not available

Unable to load historical scan data