Security Scan Report: boring-fuchsia-itz9au65qv-7sp0wdw68z.edgeone.app

Submitted: Apr 4, 2026, 11:43:52 PMCompleted: Apr 4, 2026, 11:45:00 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 boring-fuchsia-itz9au65qv-7sp0wdw68z.edgeone.app and was registered NaN years ago.

Submitted URL: https://boring-fuchsia-itz9au65qv-7sp0wdw68z.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%

1
Risk Score

Low risk site; no malicious content detected, but new subdomain warrants caution.

Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or obfuscation
No cross‑origin credential exfiltration
No redirects or external domains
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

social media network

(77%)

Domain Information

You're looking at domain 'boring-fuchsia-itz9au65qv-7sp0wdw68z.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'boring-fuchsia-itz9au65qv-7sp0wdw68z'. The core label 'edgeone' covers 7 characters holding 4 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://boring-fuchsia-itz9au65qv-7sp0wdw68z.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:106 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network77% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
77%
documentation technical
29%

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

T1FE12D6CAEBE306C9A81BC4682FFF57252229E053C409CD4DB99E0F548F0418475EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBbhbMx2h1RaXQl:KrzhNK/lMHmGgdkqia2d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9680:Ml1m1nBCBQNSPBU0BUWAlCAiGCCETQRBMNAZAAAjiTQQAIEIHMQ0ywCACYcCQcaQmTjc10omSGX6jAzBoAIGqDoCeC6GBCEB

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:da9a986c6c65c3c3
Difference Hash:3030780000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#4f3a78

Other Hashes

Crop Resistant:3030780000000000

Scan History

Scan history not available

Unable to load historical scan data