Security Scan Report: mailjustifhugo-pgcsilb2wl.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 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://mailjustifhugo-pgcsilb2wl.edgeone.app/18661-oshi-no-ko-chapter-147-ruby-meets-ais-killer-release-date-where-to-read-expected-plot-and-mor.html

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

The site shows low risk: no forms, no IoC matches, and only benign high‑obfuscation JavaScript.

Safety Factors (4)
Content appears to be an article about an anime series (non‑phishing)
No credential exfiltration or cross‑origin form submissions
No malicious network IDS alerts
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

Oshi No Ko Chapter 147: Ruby Meets Ais Killer; Release Date, Where To Read, Expected Plot And Mor

Scan Type

public

Domain Name Analysis

You're looking at domain 'mailjustifhugo-pgcsilb2wl.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'mailjustifhugo-pgcsilb2wl'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 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://mailjustifhugo-pgcsilb2wl.edgeone.app/18661-oshi-no-ko-chapter-147-ruby-meets-ais-killer-release-date-where-to-read-expected-plot-and-mor.html

Page Load Overview

17.63s
Total Load Time
128 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:4,874 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
65%
news media journalism
44%
adult content
42%
corporate
35%
technology software
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.66.169.241United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2192.178.183.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2192.178.183.95United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T168720B37FAA4112C6733826568E2F2BCEA5AC019D7958DA418A9F33D71C71E74D397C0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jmhnYf8zX+JFJKJyJ/c6kpYGwdi2woYYrWag4MDw:jmhnz+JzJU6k2GVtYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16072:UmwKREEcjUEXAnKxwYhhMiQEVmDYgAItgACIAHAilAQd8RyTdCGACmwTQxNsEwyhWQIKiGA6AKDYFoGQKguFJiBiYoIRg2hK

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:0800003c3c3c00ff
Perceptual Hash:c348bc1b993d9c3c
Difference Hash:f0c4e0d8c8c0c41a
Wavelet Hash:3c7c007c7c7c00ff
Color Hash:#2d7dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data