Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 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/13852-union-berlin-urs-fischer-and-the-managerial-departure-that-left-staff-in-tears.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%

3
Risk Score

Low‑risk article page; no phishing or malware signs, but unknown subdomain age warrants caution.

Risk Factors (5)
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (potentially suspicious but not confirmed malware)
Hosting on a generic developer subdomain (edgeone.app)
Article content mentions a brand but does not impersonate it
Safety Factors (5)
No malicious Indicators of Compromise detected
No JavaScript malware YARA patterns found
No network IDS alerts
No credential exfiltration observed
No forms collecting sensitive data
Domain age information unavailable

Details

Page Title

Union Berlin, Urs Fischer and the managerial departure that left staff in tears

Scan Type

public

Domain Name Analysis

The domain 'picoiumhugo-n37mpymvzy.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'picoiumhugo-n37mpymvzy'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Word splitting yields 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://picoiumhugo-n37mpymvzy.edgeone.app/13852-union-berlin-urs-fischer-and-the-managerial-departure-that-left-staff-in-tears.html

Page Load Overview

13.69s
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:9,669 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
65%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.110.95United States
AS15169Google LLC
3142.251.110.94United States
AS15169Google LLC
3101.33.10.57Frankfurt am Main, Hesse, Germany
3104.20.23.96United States
AS13335Cloudflare, Inc.
3172.240.108.76United States
AS7979Servers.com, Inc.
3104.20.7.223United States
AS13335Cloudflare, Inc.
3172.67.150.240United States
AS13335Cloudflare, 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

T1D9A21A13BB440338663212D5694AB7BDBB65803BD3514D50B8ADF63DA38A8D78A737C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGTrhnYf8zX+fJvFpJgeJmrJfJKJgJ/cJ83dz7OivohPTYtFoZ/EnCTRtslLHQwS:Y3hnz+xIJUAFvyPZXlQH6Y1YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21806:ACNIDBlyiRRYpaSskJBoYgAhgPCR6AHCTxQND2rnWBEUAwaACBbQVpKMAoAwBCkSXwYQTNwBgYFOkBgypzo5oEpJSSEA0cQQ

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:83dfc383c3c3c3ff
Perceptual Hash:bd159332736943c3
Difference Hash:1e361227272f2302
Wavelet Hash:82ff8383838383df
Color Hash:#3a7278

Other Hashes

Crop Resistant:1e361227272f2302

Scan History

Scan history not available

Unable to load historical scan data