Security Scan Report: picoiumhugo-n37mpymvzy.edgeone.app

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://picoiumhugo-n37mpymvzy.edgeone.app/20785-seattle-to-san-diego-dir-nyt-crossword-puzzles-clue-and-answers.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

The site appears to be a low‑risk news article; no phishing, malware, or credential collection observed.

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking (455,732)
High JavaScript obfuscation score (though not malicious)
Safety Factors (4)
No forms collecting credentials or payments
No malicious Indicators of Compromise
No network IDS alerts
Content classified as news article with no brand impersonation
Domain age information unavailable

Details

Page Title

Seattle-to-San Diego dir NYT Crossword Puzzles Clue and Answers

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' with four vowels and three consonants. Segmentation suggests two 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/20785-seattle-to-san-diego-dir-nyt-crossword-puzzles-clue-and-answers.html

Page Load Overview

12.28s
Total Load Time
174 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:7,126 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
82%
entertainment media
57%
government public service
46%
adult content
43%
education learning
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.110.94United States
AS15169Google LLC
2172.240.108.76United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FF82092FF6881D39637076D0A4C03ABE7B16D21FC35FD5A87095E22C13862AF457A297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ZGUrhnYf8zX+YI2+KIqdIAcI0JKJgd82WVY3jmnQk5vrR3P68W+PPLma7jYYrWav:YUrhnz+YI2+KIqdIAcIenWVYzmQMvl3t

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18246:eCCAAgg1QgIBzcgmWSUogwIFKVkMgAQKRToExYlkEcWL0MGBEDBEAqgAAgSgCQqTLoAIIgARA9RAKBABeI4jApqRTbFKUQQl

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:87dfc3c3c3c3c393
Perceptual Hash:bdd292323c7169c3
Difference Hash:1e3c323626333733
Wavelet Hash:87ffc383c3838383
Color Hash:#53ac5d

Other Hashes

Crop Resistant:1e3c323626333733

Scan History

Scan history not available

Unable to load historical scan data