Security Scan Report: fit-silver-clegbiyblz-27nfs9i8p4.edgeone.app

Submitted: Mar 7, 2026, 7:29:48 AMCompleted: Mar 7, 2026, 7:30:59 AMpubliccompleted
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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 fit-silver-clegbiyblz-27nfs9i8p4.edgeone.app and was registered NaN years ago.

Submitted URL: https://fit-silver-clegbiyblz-27nfs9i8p4.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

No suspicious activity detected; site appears low risk.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Low JavaScript obfuscation score (standard minification)
No cross‑origin credential exfiltration observed
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(39%)

Domain Information

You're looking at domain 'fit-silver-clegbiyblz-27nfs9i8p4.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'fit-silver-clegbiyblz-27nfs9i8p4'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fit-silver-clegbiyblz-27nfs9i8p4.edgeone.app/

Page Load Overview

1.00s
Total Load Time
2
HTTP Requests
1
Domains
3 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:102 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism39% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
39%
healthcare medical
34%
government public service
34%
technology software
32%
social media network
28%

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

T1D002B5CAEBA305C9A82BC46D2FFF5324222DE017C449CD5DB99E5F548F0518875EA3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB8h1RaXQl:KrzhNK/lMHmGgdkqdd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8798:IDUD1nACFSMQNBUcAU3AhAIiaQaEDQQAMFALACALyDKQgIEIDsR0wxuhKZcCANaAgTmcVQAmTEF6BghhACJGCCqCOCaegAEF

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:dcfcfcc0e0e0c0c0
Perceptual Hash:da9a98986c6d61e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#3a6878

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data