Security Scan Report: lendingtreeusa.vercel.app

Redirected to:
https://lendingtreeusa.vercel.app/
Submitted: Jul 5, 2026, 3:52:13 AMCompleted: Jul 5, 2026, 3:53:35 AMpubliccompleted
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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 without collecting credentials; moderate risk due to brand mismatch and unknown subdomain age.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain age on hosting platform
Unranked / low‑reputation domain
Safety Factors
Physical address visible on page
No malicious Indicators of Compromise, YARA matches, or IDS alerts
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

The domain name 'lendingtreeusa.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lendingtreeusa'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Splitting it apart reveals 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

10.28s
Total Load Time
28
HTTP Requests
1
Domains
232 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
2864.29.17.131United States
AS16509Amazon.com, Inc.
281--

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:#65783a

Other Hashes

Crop Resistant:4d32746c69890c14

Scan History

Scan history not available

Unable to load historical scan data