Security Scan Report: freakalarm1-0tbn25onam.edgeone.app

Submitted: Feb 13, 2026, 12:28:20 PMCompleted: Feb 13, 2026, 12:31:13 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 freakalarm1-0tbn25onam.edgeone.app and was registered NaN years ago.

Submitted URL: https://freakalarm1-0tbn25onam.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: 85%

3
Risk Score

Site shows many redirects but lacks malicious indicators; overall low risk.

Risk Factors
Excessive redirects (16) detected
Safety Factors
Well‑established domain age
No malicious Indicators of Compromise matches
No login or payment forms
Minimal risk category from analysis
Domain age information unavailable

Details

Page Title

freakalarm1-0tbn25onam.edgeone.app

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'freakalarm1-0tbn25onam.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'freakalarm1-0tbn25onam'. Count 7 characters in 'edgeone' split between four vowels and three consonants. Tokenizing the label 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://freakalarm1-0tbn25onam.edgeone.app/

Page Load Overview

50.75s
Total Load Time
156
HTTP Requests
10
Domains
8.4 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
Text Length:35 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15643.152.26.58Singapore
1561--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:1fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz82bMy8OldO:ShoC9JSqzzbs6o3Sj3gcrsI2eAM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184561:zUPjMMBEBpAsQBOApIYYBAFAKFzmgyQYABIQEARADIQIgFIUBGsNMYATgUAxg0CITghJYEDbQZqPwmWAgAwgSoAqAEmPoAgC

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc676323
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0c8f0f0f0f0
Color Hash:#9bd22d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data