Security Scan Report: passive-brown-osahiqci7s-as6bc1kmt9.edgeone.app

Submitted: Apr 24, 2026, 9:23:58 PMCompleted: Apr 24, 2026, 9:25:15 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is passive-brown-osahiqci7s-as6bc1kmt9.edgeone.app and was registered NaN years ago.

Submitted URL: https://passive-brown-osahiqci7s-as6bc1kmt9.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: 72%

2
Risk Score

The site shows no malicious activity, lacks credential or payment forms, and only has weak risk signals such as a low‑ranked subdomain; overall low risk.

Risk Factors
Subdomain on hosting platform with unknown age
Low domain ranking in Cisco Umbrella
Safety Factors
No forms or credential fields
No malicious IoC matches
No YARA malware detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

Timely - Stopwatch & Timer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'passive-brown-osahiqci7s-as6bc1kmt9.edgeone.app' is registered; it also runs on subdomain 'passive-brown-osahiqci7s-as6bc1kmt9'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Word splitting yields 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://passive-brown-osahiqci7s-as6bc1kmt9.edgeone.app/

Page Load Overview

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

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:172 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical69% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
69%
entertainment media
51%
news media journalism
33%
healthcare medical
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

T1E982505F60F325321CA3A07A67EB73827332D103994AEE193D9F03C08F96B5446A679D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:kUQPYmbALb5l9eCPDfyU9uqkFXXLSCjvfz3jMyJHwnv17lrXttxY2L6igUdrjwU8:naAvQbFNvwnv17lZt22LeENC/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19258:DJHICGp4omIAYQXmKamlwQEIomWKm4uKAEqAYhUpkEKJQIGjGRCABEhBpTjcKGnEIgjINAJDCCsCEDEEkGTAAsILzBdSSgEB

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:1818181818181800
Perceptual Hash:99cc66c66699cccc
Difference Hash:327032723070720c
Wavelet Hash:3c3c3c3c3c3c3c1c
Color Hash:#783f3a

Other Hashes

Crop Resistant:327032723070720c

Scan History

Scan history not available

Unable to load historical scan data