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Security Scan Report: capitalsealblog-dpa9cm7t4b9v.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page is a benign article without credential collection; moderate risk due to unknown subdomain age and heavily obfuscated JavaScript.

Risk Factors (3)
High JavaScript obfuscation score
Unknown subdomain age on a hosting platform
Unranked domain (not in Cisco Umbrella top‑1M)
Safety Factors (4)
No forms collecting credentials or payment data
No network‑based IDS alerts or malicious external links
Content type is an article (og:type=article) with no brand impersonation
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Understanding the 2022 ACL Injury Lineup by Day: Patterns and Prevention

Scan Type

public

Domain Name Analysis

You're looking at domain 'capitalsealblog-dpa9cm7t4b9v.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'capitalsealblog-dpa9cm7t4b9v'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Tokenizing the label suggests 2 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://capitalsealblog-dpa9cm7t4b9v.edgeone.app/acl-lineup-2022-by-day.html

Page Load Overview

1.38s
Total Load Time
146 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:4,210 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
48%
government public service
43%
healthcare medical
40%
adult content
39%
education learning
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.67.150.240United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
AS139341ACE
3142.251.13.95United States
AS15169Google LLC
345.79.168.40Cedar Knolls, New Jersey, United States
AS63949Akamai Connected Cloud
3172.240.127.234United States
AS7979Servers.com, Inc.
165--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120724A27F740522C6B230186B0C67BFC6E7CC027E3128CE5B899B32D978E6D7A5B6154

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWHhnYf8zX+UESPhiuFAw8F5DxVZoxsOF6eorWag4MV3x:ZWHhnz+UEiwMAXNZoxcrrWag4WB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16297:VUYzoABxIIHEpaEDgCiA4GLoIgBARFfECAMKFowMUIMEIkgcRRRKBhKguoYgECAARAbZAqUIKaOMXMAh6gACiQkDD0BTIEGE

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:ffffff91818191ff
Perceptual Hash:ed93926d3c6c9292
Difference Hash:3200323333333327
Wavelet Hash:9effff8181818183
Color Hash:#d22d77

Other Hashes

Crop Resistant:3200323333333327,0000000000000000,0000000000000000,4d4dcc7117963733

Scan History

Scan history not available

Unable to load historical scan data