Security Scan Report: robo-livelo.vercel.app

Submitted: Sep 19, 2026, 9:50:58 PMCompleted: Sep 19, 2026, 9:51:20 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Inactive Vercel 404 error page. No forms, no brand impersonation, no Indicators of Compromise, YARA, or malware. Platform-level IDS tags are reputation-only, not content evidence.

Risk Factors
Subdomain on a free/instant hosting platform (.vercel.app) with unknown actual creation date
Unranked domain (not in Cisco Umbrella top 1M)
Safety Factors
No credential, login, or payment forms present on the page
No impersonation of any brand — title/meta is a plain 404 error page
No Indicators of Compromise, YARA malware, or Safe Browsing hits
No malicious or obfuscated JavaScript behavior
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

The domain 'robo-livelo.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'robo-livelo'. The core label 'vercel' covers 6 characters split between 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://robo-livelo.vercel.app/

Page Load Overview

5.21s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical58% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
58%
news media journalism
33%
technology software
31%
healthcare medical
31%
government public service
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155F1EA91B0613A3EF23389621897511D313CE006FD275EDA998A95F09ADE5E23A3FD81

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjm59G7XOuT24gEcy5m:Wurh84BFynOqjWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKEYhBAArBcAopQCrNgJSCHXQjjIgCZCbB0gjIgAoglDMDYCYCLMkhUQUnAKPASGoATVAApS

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0c00000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#be79d2

Other Hashes

Crop Resistant:0000080c0c00000c

Scan History

Scan history not available

Unable to load historical scan data