ScanMalware.com

Security Scan Report: lendingtreeusa.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/31696150-e817-411f-abdc-16d3a60fbaadDomain and IP registration (RDAP)/api/v1/rdap/31696150-e817-411f-abdc-16d3a60fbaadHow often this domain was scanned/api/v1/domain/stats/lendingtreeusa.vercel.appScan history for this domain/api/v1/domain/history/lendingtreeusa.vercel.app?limit=15
This website contacted 2 IPs in 1 country across 1 domain to perform 38 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Unranked Vercel subdomain masquerading as LendingTree with a fake loan-application funnel collecting personal/financial data — brand impersonation, not the real lender. Do not apply or submit information.

Risk Factors (4)
Impersonation of a different entity's brand (LendingTree) on a non-official domain
Loan-application funnel harvesting personal/financial data on an unrelated Vercel subdomain
Generic 'no fees / fast funding / guaranteed approval' loan-scam marketing copy
Unranked host with an unknown, potentially minutes-old tenant age
Domain age information unavailable

Details

Page Title

Lending Tree - Personal Loans with No Fees

Scan Type

public

Domain Name Analysis

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

Page Load Overview

2.04s
Total Load Time
349 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,150 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
65%
real estate property
43%
government public service
30%
documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1964.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
19216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
382--

Detected Technologies4

v0
100%
MetaGenerator
100%
Vercel
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F043A4393105DD2DED6B5D58717EBD39518EC1ABCA5BC9A4E2DCC9310AC38389B939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6SmzQuDdYtebjGYKYnYNUYyYm7YMYNrb2RVFRQqL7NYVYr3lCWxYWYwMgPMLtmL6:n2g/07MIMD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60045:CUJKaAAQhFzBAXQ1LgDIvl0IFEEUDghyoCmCBgQEbIBUAAmixTYZCgsCtN9CMEzRESGlE+iEBVKmhNAAIRC7gAfAaF0AkMSe

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:fc820e0e0cfce7fe
Perceptual Hash:970ee0ead6a25c3a
Difference Hash:4d32746c69890c14
Wavelet Hash:fcb00e060ce0e7fe
Color Hash:#4dbf40

Other Hashes

Crop Resistant:4d32746c69890c14

Scan History

Scan history not available

Unable to load historical scan data