Security Scan Report: lendingtreeusa.vercel.app

Redirected to:
https://lendingtreeusa.vercel.app/
Submitted: Jul 12, 2026, 11:51:52 AMCompleted: Jul 12, 2026, 11:53:17 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is lendingtreeusa.vercel.app and was registered NaN years ago.

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

Effective URL: https://lendingtreeusa.vercel.app/Redirected

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site impersonates the Lending Tree brand on an unranked Vercel subdomain without credential forms, yielding a moderate risk.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age
Unranked domain reputation
High JavaScript obfuscation score
Safety Factors
Physical address listed on page
No credential or payment forms detected
No network IDS alerts or IoC matches
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

Lending Tree - Personal Loans with No Fees

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(65%)

Domain Information

Domain 'lendingtreeusa.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lendingtreeusa'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.24s
Total Load Time
32
HTTP Requests
1
Domains
254 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
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
44%
government public service
29%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3264.29.17.67United States
AS16509Amazon.com, Inc.
321--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C4394393105DD2DED6B5D58717EBD3A518EC1ABC65BC9A4E2DCC9310AC38389BA39C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:2SmzQusdYtebjGYKYnYNUYyYm7YMYNrb2RVFRQqL7NYVY63lCWxYWYwMgPMLtmL6:Dpg/D7MIMD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:59547:MkhUU9JVwIaEO2DS1AwQBIlRCEiBsKaC5knAIjEyUM6B0gDMgliCBAqX9gFMmEFjQMEhAJ0iJUQQyKCEq5AFKZPAZLsJOAgS

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:#742d86

Other Hashes

Crop Resistant:4d32746c69890c14

Scan History

Scan history not available

Unable to load historical scan data