Security Scan Report: forgivemedemo-ocpayn5hmf.edgeone.app

Submitted: Dec 21, 2025, 11:35:28 AMCompleted: Dec 21, 2025, 11:37:25 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is forgivemedemo-ocpayn5hmf.edgeone.app and was registered NaN years ago.

Submitted URL: https://forgivemedemo-ocpayn5hmf.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain age
No malicious Indicators of Compromise
No credential or payment collection fields
Domain age information unavailable

Details

Page Title

Forgive Me

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(72%)

Domain Information

Domain 'forgivemedemo-ocpayn5hmf.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'forgivemedemo-ocpayn5hmf'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://forgivemedemo-ocpayn5hmf.edgeone.app/

Page Load Overview

30.22s
Total Load Time
0
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:804 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
46%
adult content
34%

Detected Features

No structural features detected

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10133D7A266A310018533A3F7ABEB1F00217541CBF206CC39B6DD660ADFC5E5177A77A6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:aHrzJ0aykRV5h8jg9VwZTYUfMnYUBelmVU8yRY16X5M2k0wFhHUO/GS2qbKd8myi:gB0ORV5hyCzdgpL

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52192:AgQECJMN5uArgA4AIBwO2o4Bb6AJUO0gmFQeecEeAAgALzJHQJmCiZAgThEjCmoVDAiRZigyiCQsiBgHiVmx10CJQAA5HJAY

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:ffffc3c3c3c3ffff
Perceptual Hash:f0dddf7725c82082
Difference Hash:166896968e960a00
Wavelet Hash:1aee4343c341c2ff
Color Hash:#6d1f93

Other Hashes

Scan History

Scan history not available

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