Security Scan Report: poor-green-snkogsfstd-7ixqmsnsda.edgeone.app

Submitted: Dec 28, 2025, 3:45:07 PMCompleted: Dec 28, 2025, 3:45:29 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 0 countries across 1 domain to perform 20 HTTP transactions. The main domain is poor-green-snkogsfstd-7ixqmsnsda.edgeone.app and was registered NaN years ago.

Submitted URL: https://poor-green-snkogsfstd-7ixqmsnsda.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: 95%

0
Risk Score

Legitimate site with no apparent security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
No forms collecting sensitive data
Low ranking does not indicate phishing without other signals
Domain age information unavailable

Details

Page Title

Timelapse Recorder

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(61%)

Domain Information

Domain 'poor-green-snkogsfstd-7ixqmsnsda.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'poor-green-snkogsfstd-7ixqmsnsda'. Count 7 characters in 'edgeone' with 4 vowels and 3 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://poor-green-snkogsfstd-7ixqmsnsda.edgeone.app/

Page Load Overview

0.54s
Total Load Time
20
HTTP Requests
0
Domains
N/A
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:136 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media61% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
61%
documentation technical
43%
news media journalism
41%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58UnknownUnknown
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE91751F327B092A8D6750BEAB67A3406A5080133546D9CC3D4F92CC6F24952C2B6FDC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:T2D9tt0kuwi2SiB2dBdd4lCXM/ZkQ9n0W6I3ICClLFw/:yDbMaSRdJ4lCc/74qYS/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4437:YBChAAAMACgE0DgAAIQSBJgAAgUUQAaAAIRywzABAIAAqAAUIEQRADCDACIwQRCAAEggkYQhQMIgRgAACIBUACBxAAAIJQAw

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:e7e7ffe7e7e7e7e7
Perceptual Hash:b36cc63326cc9993
Difference Hash:0c0c14040c0c0c08
Wavelet Hash:27030303c3e7e7e7
Color Hash:#4d862d

Other Hashes

Crop Resistant:0c0c14040c0c0c08

Scan History

Scan history not available

Unable to load historical scan data