Security Scan Report: push.loilonote.app

Submitted: Dec 21, 2025, 9:55:41 AMCompleted: Dec 21, 2025, 9:56:52 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 0 domains to perform 0 HTTP transactions. The main domain is push.loilonote.app and was registered NaN years ago.

Submitted URL: https://push.loilonote.app

The Cisco Umbrella rank of the primary domain is #468,437 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain with a long registration history
No suspicious forms or data collection
Low likelihood of phishing or malware activity
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'push.loilonote.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'push'. The core label 'loilonote' covers 9 characters holding five vowels versus 4 consonants. Segmentation suggests 3 words: lo, ilo, note. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://push.loilonote.app

Page Load Overview

4.04s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
0142.250.185.174United States
AS15169GOOGLE
044.239.23.45Boardman, Oregon, United States
AS16509AMAZON-02
02--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155C01276C450551A5232AAECAD86B5484AC5B60DA4314D41B5C4E494CAD6A5EC453388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BuFJYkAK3BbZ6iL9RALKFjJh9AjS8K4FLfRRyIdlEbXItKa:qzxV/5VHHQYk/B96bKZJL2NdxELa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:a27d27677580c16257421235ae164096

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:00ffffffffffffff
Perceptual Hash:870707070f0f0f7f
Difference Hash:e000000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#8788c5

Other Hashes

Crop Resistant:e000000000000000

Scan History

Scan history not available

Unable to load historical scan data