Security Scan Report: low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app

Submitted: Jan 7, 2026, 12:08:57 AMCompleted: Jan 7, 2026, 12:10:26 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 3 domains to perform 16 HTTP transactions. The main domain is low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app and was registered NaN years ago.

Submitted URL: https://low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app/clFNAF3.html

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

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with minimal reputation risk
Low Cisco Umbrella ranking does not alone indicate malicious intent
Page contains only static text, no interactive elements that could harvest data
Domain age information unavailable

Details

Page Title

Five Nights at Freddy's 3

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(96%)

Domain Information

Within the application-focused generic top-level domain (.app), 'low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app' is registered and includes subdomain 'low-rose-dzbzk8y3i1-bcxpdovwvn'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://low-rose-dzbzk8y3i1-bcxpdovwvn.edgeone.app/clFNAF3.html

Page Load Overview

1.53s
Total Load Time
19
HTTP Requests
3
Domains
236.7 MB
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:120 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media96% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
96%
adult content
82%
news media journalism
78%
technology software
73%
government public service
66%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7151.101.1.229United States
AS54113FASTLY
4151.101.193.229United States
AS54113FASTLY
4104.17.25.14Singapore
443.152.26.58Singapore
194--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA414212A5F5540C3150C194B8F6E40D0F52C20B971E5AD47AAC25B66FCDAD9CCB30AD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:SsJUJg+TbHErYtDu6Ppxh5TlNH/ZQoHwZr4T:nJJ+Tpus3vvxLMrQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1916:EICAEBAQAAAAgAAAABAEABAAAAAQBAAgAAAAAAJAAQAJICIgAQAQAgCAQgIAAAQEAgEIhgAAASAAASEgAAAAAAQIAABAAAAg

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:ffffffe7e7ffffff
Perceptual Hash:e626999966669999
Difference Hash:0000100c0c000000
Wavelet Hash:0f0f3f27243c0c0c
Color Hash:#92c587

Other Hashes

Crop Resistant:0000100c0c000000

Scan History

Scan history not available

Unable to load historical scan data