Security Scan Report: central-sapphire-ucmniitg8v-zvdsiymmci.edgeone.app

Submitted: Apr 13, 2026, 6:52:27 PMCompleted: Apr 13, 2026, 6:53:35 PMpubliccompleted
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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 central-sapphire-ucmniitg8v-zvdsiymmci.edgeone.app and was registered NaN years ago.

Submitted URL: https://central-sapphire-ucmniitg8v-zvdsiymmci.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: 68%

2
Risk Score

The site shows low risk: no malicious content or credential collection, but the subdomain is newly created and low‑ranked, so proceed cautiously.

Risk Factors
Unknown subdomain age
Low domain ranking
Safety Factors
No credential or payment forms
No malicious IoC or YARA matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇫🇷

French

(50% confidence)

Category

government public service

(64%)

Domain Information

Within the application-focused generic top-level domain (.app), 'central-sapphire-ucmniitg8v-zvdsiymmci.edgeone.app' is registered; it also runs on subdomain 'central-sapphire-ucmniitg8v-zvdsiymmci'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. It segments into two 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://central-sapphire-ucmniitg8v-zvdsiymmci.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:86 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as fr

Website Classification

Primary Category

government public service64% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
64%
news media journalism
50%
documentation technical
44%
healthcare medical
30%

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

T1DB02B5CAEBA305C9A81BC46C2FFF5324222DE013D449CD5DB99E5F548F4518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBpnh1RaXQl:KrzhNK/lMHmGgdkq2d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8777:JEUC9nDCJQNQNBU8AW2IhUIySEOEDYQgMFEJAAAKyDaQQIFKhMR04xKAKYcCANaAgTmdVQUmaEDaBEhJgCMGCCoCOCbWAAOF

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:da9a989c6c6561e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#351f93

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data