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/d3b14e7f-96d7-4b8c-afff-09c066f826a7Domain and IP registration (RDAP)/api/v1/rdap/d3b14e7f-96d7-4b8c-afff-09c066f826a7How 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 37 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: 75%

8
Risk Score

Site impersonates the Lending Tree brand on a non-official .vercel.app domain, offering loan applications with no legitimate brand affiliation. Brand impersonation alone drives risk high; do not submit personal or financial data.

Risk Factors (4)
Impersonation of a different entity's brand (Lending Tree) on a mismatched, non-official domain
Financial services pretext used to funnel visitors toward supplying personal/financial data
Hosted on an instant/free shared subdomain platform with unknown page age
Unranked domain with minimal legitimacy signals while claiming to be an established national lender
Domain age information unavailable

Details

Page Title

Lending Tree - Personal Loans with No Fees

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'lendingtreeusa.vercel.app' is registered with subdomain 'lendingtreeusa'. The second-level label 'vercel' is 6 characters long holding 2 vowels versus 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lendingtreeusa.vercel.app/

Page Load Overview

1.31s
Total Load Time
347 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.
18216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
372--

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

T1D443A5393105DD2DED6B5D58717EBD3A518EC1ABCA5BC9A4E2DCC9310AC38389B939C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:6SmzQuDJYtebjGYKYnYNUYyYm7YMYNrb2RVFRQqL7NYVYr3lCWxYWYwMgPMLtmL6:n2M/07MIMD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60168:kBR4+ICgqoIEBBAWQliAMwAJ6BRLKxCNQYEgYQFDUFEEBAQBKNXAFAFeXMAM2FxKSQBA3CKA47Qo4XYBQVAFmIwAbESWAFeA

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:#785b3a

Other Hashes

Crop Resistant:4d32746c69890c14

Scan History

Scan history not available

Unable to load historical scan data