Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 13 domains to perform 23 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://picoiumhugo-n37mpymvzy.edgeone.app/24611-one-piece-recap-lets-put-a-smile-on-that-face.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk article page; no phishing, malware, or credential collection observed.

Risk Factors (2)
Low Cisco Umbrella ranking (455,732)
Unknown subdomain age on a hosting platform
Safety Factors (4)
Page type is an article (og:type=article) – content‑only
No credential or payment collection forms
No malicious IoC or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

One Piece Recap: Lets Put a Smile on That Face

Scan Type

public

Domain Name Analysis

You're looking at domain 'picoiumhugo-n37mpymvzy.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'picoiumhugo-n37mpymvzy'. Its registrable label 'edgeone' stretches across 7 characters containing four vowels alongside three consonants. It segments into two 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://picoiumhugo-n37mpymvzy.edgeone.app/24611-one-piece-recap-lets-put-a-smile-on-that-face.html

Page Load Overview

13.08s
Total Load Time
222 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:9,312 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
download file sharing
37%
documentation technical
35%
corporate
35%
education learning
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.152.26.58Singapore
3172.66.169.241United States
AS13335Cloudflare, Inc.
3142.251.110.94United States
AS15169Google LLC
3192.178.170.95United States
AS15169Google LLC
3104.21.0.120United States
AS13335Cloudflare, Inc.
3104.20.7.223United States
AS13335Cloudflare, Inc.
3172.240.127.243United States
AS7979Servers.com, Inc.
237--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C5A21B33F681133CAB2102A6794EB7FC7A148825D761CE6074AD727C83869D7A57BDC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGZhnYf8zX+5TLET0T/T0JKJgJ/cJ83TPgkGPs+pcOZP+hjDp4rYYrWag4MDw:YZhnz+5TLET0T/TeJUiTPC0wSvYrWag2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21264:02oIALGACBoW+MWkGgABGwko6ACJDJiHfiEEhkALgVEA0LKFAWAAWiURIA6hBTJgKygJBWSGzYaUMwEgAxkUKHDZSTUARiYS

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:87ffc383c38383df
Perceptual Hash:bd97933a13696161
Difference Hash:1e380627333b3b36
Wavelet Hash:86ff8383838383cf
Color Hash:#931f7e

Other Hashes

Crop Resistant:1e380627333b3b36

Scan History

Scan history not available

Unable to load historical scan data