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Security Scan Report: omaraskscecilia-9sq9yfkczx.edgeone.app

Submitted: Mar 14, 2026, 7:37:48 PMCompleted: Mar 14, 2026, 7:39:24 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 6 HTTP transactions. The main domain is omaraskscecilia-9sq9yfkczx.edgeone.app and was registered NaN years ago.

Submitted URL: https://omaraskscecilia-9sq9yfkczx.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: 88%

2
Risk Score

No malicious activity detected; the site appears to be a harmless greeting page.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Low Cisco Umbrella ranking (455,732) adds moderate suspicion
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
External resources are from reputable domains (media1.giphy.com, raw.githubusercontent.com)
Page content is a simple Valentine greeting with no brand impersonation
Domain age information unavailable

Details

Page Title

Will You Be My Valentine?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(65%)

Domain Information

You're looking at domain 'omaraskscecilia-9sq9yfkczx.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'omaraskscecilia-9sq9yfkczx'. Count 7 characters in 'edgeone' with 4 vowels and 3 consonants. Segmentation suggests 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://omaraskscecilia-9sq9yfkczx.edgeone.app/

Page Load Overview

0.51s
Total Load Time
6
HTTP Requests
3
Domains
68 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:58 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content65% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
65%
news media journalism
52%
healthcare medical
30%
gambling betting
29%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
2146.75.121.32Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2185.199.110.133GermanyUnknown
63--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A0175C15DF30A7D231151CA04D2B212BD80D90BD2EB28003CDD39D53FC5D12C457009

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRjCh6hnOF6pESBide1l6IfG4NkAZFCr0Vaj:TzhmSBide1sIf9KVVj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:845:AAAAACEAAAAAAAACAAAAAIEAAAAAAAAIEAAAEAAAAEAAAAAAAAAAAAAAAAAAAAAACAIAAAASgAAAAABCAAAAAAIEBAAAAAAA

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:ffffe7e7e7e7ffff
Perceptual Hash:b3cccc3333cc3233
Difference Hash:08304c0c4d4d3008
Wavelet Hash:0c0c0004e3e3f3f3
Color Hash:#726ce0

Other Hashes

Crop Resistant:08304c0c4d4d3008

Scan History

Scan history not available

Unable to load historical scan data