Security Scan Report: africangrovehugo-hrtt52jxs0.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://africangrovehugo-hrtt52jxs0.edgeone.app/22353-forget-no-nut-november-masturbation-is-healthy-and-avoiding-it-will-just-make-you-uncomfortabl.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears low risk with no phishing or malware signs, but unknown subdomain age and low ranking suggest caution.

Risk Factors (3)
Subdomain creation date unknown (potentially new)
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score (though not malicious)
Safety Factors (4)
No credential or payment forms present
No malicious Indicators of Compromise detected
No YARA malware matches in JavaScript
No network IDS alerts
Domain age information unavailable

Details

Page Title

Forget 'No Nut November' masturbation is healthy and avoiding it will just make you uncomfortabl

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'africangrovehugo-hrtt52jxs0.edgeone.app' is registered; it also runs on subdomain 'africangrovehugo-hrtt52jxs0'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside 3 consonants. Splitting it apart reveals 2 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://africangrovehugo-hrtt52jxs0.edgeone.app/22353-forget-no-nut-november-masturbation-is-healthy-and-avoiding-it-will-just-make-you-uncomfortabl.html

Page Load Overview

12.28s
Total Load Time
173 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,353 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
87%
adult content
71%
education learning
50%
entertainment media
49%
healthcare medical
44%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.240.127.243United States
AS7979Servers.com, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196622B6FF684113C2B310284A595B77D7B398436C3D18DE464AEE71967C97CF1A3B680

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGuhnYf8zX+2Fz+FCFBFMJKJXvo8zqlKCdtKcYYrWag4MDoq2:Yuhnz+2p+4n7viKctKnYrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15723:EAAMg4IwREEUtoJw0BGMAxKB0ACfCmUCgaQEAUkAhEIH4FeAKdhKIZYAQBFzBQ2BVeawEAa0iiAAOAZEY4iCLGxV6agqESUE

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:839fff83c383c3c3
Perceptual Hash:bd979a39616161c3
Difference Hash:163e162636363337
Wavelet Hash:83bfc3c3c383c383
Color Hash:#1f2793

Other Hashes

Crop Resistant:163e162636363337

Scan History

Scan history not available

Unable to load historical scan data