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Security Scan Report: umbropro5.vercel.app

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Submitted: Jul 3, 2026, 9:52:17 PMCompleted: Jul 3, 2026, 9:53:51 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is umbropro5.vercel.app and was registered NaN years ago.

Submitted URL: https://umbropro5.vercel.app

AI Security Verdict

Low Risk

Confidence: 75%

3
Risk Score

The site lacks credential or payment forms and shows no IoC or malware, but heavily obfuscated JavaScript and unknown subdomain age raise moderate concern.

Risk Factors
Critical JavaScript obfuscation score
Subdomain creation date unknown (could be brand‑new)
Safety Factors
No forms collecting credentials or payment data
No malware YARA patterns detected
No network‑level IDS alerts
No external links or cross‑origin credential exfiltration
Self‑branding matches the domain
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 4 to 3
Domain age information unavailable

Details

Page Title

umbropro5.vercel.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

You're looking at domain 'umbropro5.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'umbropro5'. Count 6 characters in 'vercel' with 2 vowels and 4 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

Security scan screenshot of https://umbropro5.vercel.app

Page Load Overview

8.09s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:756 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
60%
adult content
50%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67United States
AS16509Amazon.com, Inc.
0157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
0216.198.79.3United States
AS16509Amazon.com, Inc.
02.16.204.213Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
14--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9048F77329A063D86558498E05B83099F20B143F506C9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:s/Qho9PKBb9Js3q9Jzbs6tlg1ySBKwdQ9gcoIsP12bMy8OldU:dhoC9JSqzzbs6okSjggcpsd2eAW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187923:EggfQDQYgjI0UwNQNggggIoEUTBcAFAiZFATIuo6CbBGRDtJAEoAIAhoBzAASEwcE5OpVzwECAWQPqVpOAHlaLUmAAwSQFID

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:3f1f0707c0f8f0f0
Color Hash:#87c5a0

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data