Security Scan Report: xeric-silver-fjpa2v7gop-0ijiggm3in.edgeone.app

Submitted: May 7, 2026, 1:19:37 AMCompleted: May 7, 2026, 1:20:49 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is xeric-silver-fjpa2v7gop-0ijiggm3in.edgeone.app and was registered NaN years ago.

Submitted URL: https://xeric-silver-fjpa2v7gop-0ijiggm3in.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: 78%

2
Risk Score

The site shows low risk: no forms, no malicious code, but subdomain age is unknown and ranking is low.

Risk Factors
Unknown subdomain age
Low domain ranking in Cisco Umbrella
Safety Factors
No credential or payment forms
No malicious JavaScript or network alerts
No external links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

healthcare medical

(32%)

Domain Information

Within the application-focused generic top-level domain (.app), 'xeric-silver-fjpa2v7gop-0ijiggm3in.edgeone.app' is registered; it also runs on subdomain 'xeric-silver-fjpa2v7gop-0ijiggm3in'. Count 7 characters in 'edgeone' split between 4 vowels and three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xeric-silver-fjpa2v7gop-0ijiggm3in.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:103 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

healthcare medical32% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
32%
documentation technical
25%

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

T13302B5CAFB9705C9A82BC0682FFB5314222DE067C849CD5DB9AE5F548F0518875AB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBEarh1RaXQl:KrzhNK/lMHmGgdkq+d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8798:IDUD1nACBSMUNBUUAU3AhAIiaQaFDQQAMFALACALyTKQAIEIDMR0wxOhKZcCANaAgTicVQAmTEF6BghhAAJGCCqCOCaegAEF

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a98986c6d61e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#98d279

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data