Security Scan Report: grateful-amaranth-nbp62hkzpt-g9rp2zurh3.edgeone.app

Submitted: Feb 26, 2026, 6:36:24 PMCompleted: Feb 26, 2026, 6:37:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is grateful-amaranth-nbp62hkzpt-g9rp2zurh3.edgeone.app and was registered NaN years ago.

Submitted URL: https://grateful-amaranth-nbp62hkzpt-g9rp2zurh3.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: 92%

0
Risk Score

No suspicious activity detected; the site appears legitimate and safe.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Hosted on a reputable hosting platform (edgeone.app)
Minimal page content with no interactive elements
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

adult content

(77%)

Domain Information

Domain 'grateful-amaranth-nbp62hkzpt-g9rp2zurh3.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'grateful-amaranth-nbp62hkzpt-g9rp2zurh3'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grateful-amaranth-nbp62hkzpt-g9rp2zurh3.edgeone.app/

Page Load Overview

0.50s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
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
HTML Lang Attribute:zh
Text Length:59 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

adult content77% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
77%
finance banking
31%
news media journalism
28%
healthcare medical
26%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15502D6CAEBA305C8A82BC4682FFF5324222DE057C449CD5DB99E1F548F0518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB0h1RaXQl:KrzhNK/lMHmGgdkqbd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8719:cA0a9nACBQMQNDWcAU2AhAAiSgDMDQUAMVEJCSiCiDKQAYEIgMT1wwKADc8CAPaggXicVQQmyOFaNMhBAAIGCCoCPCaWAAkB

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#8879d2

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data