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Security Scan Report: blive-gift-logger-oy175ern95.edgeone.app

Submitted: Dec 18, 2025, 6:07:14 AMCompleted: Dec 18, 2025, 6:08:06 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is blive-gift-logger-oy175ern95.edgeone.app and was registered NaN years ago.

Submitted URL: https://blive-gift-logger-oy175ern95.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain with minimal risk level
No credential or payment collection mechanisms
Domain age information unavailable

Details

Page Title

Vite App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(77%)

Domain Information

Domain 'blive-gift-logger-oy175ern95.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'blive-gift-logger-oy175ern95'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://blive-gift-logger-oy175ern95.edgeone.app/

Page Load Overview

8.17s
Total Load Time
3
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:816 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
documentation technical
49%
adult content
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
143.152.186.21Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AEE17A1C6A400684057753C2FBC1DF4C462DF682E97AE4EF63690887EDDB9E821CDA8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:sLm8qgWtWqWvWsWpW2WbWMlWVWfWaWdWQWLWmWZWcWnWiW2WbWIlWp7:sDuBkHClYrGCHYluTkB6/LmDlc7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7075:aAAJQAiYQBAAUHA0GSBABKtFCBAAIJCACSkQIYGAQBABIQrAAMiAJABEMYElQAqEpCoRBFgAAVAAEoAQoAEgpICCaCAAgAAS

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#d28479

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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