Security Scan Report: idunkareblog-dpiaywv6v2at.edgeone.app

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Submitted: Jun 20, 2026, 12:31:59 PMCompleted: Jun 20, 2026, 12:33:09 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is idunkareblog-dpiaywv6v2at.edgeone.app and was registered NaN years ago.

Submitted URL: https://idunkareblog-dpiaywv6v2at.edgeone.app/bci-background-check-ohio-online.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The page appears to be a benign article with no forms, no brand impersonation, and no malicious indicators; low risk.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Content classified as government public service article
High JavaScript obfuscation score attributed to normal minification
No external link matches to known malicious domains
No credential exfiltration or cross‑origin form submissions
Domain ranking is low but no malicious activity observed
Domain age information unavailable

Details

Page Title

Mastering the BCI Background Check Ohio Online Portal for Faster Results

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(67%)

Domain Information

The domain 'idunkareblog-dpiaywv6v2at.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'idunkareblog-dpiaywv6v2at'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Segmentation suggests 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://idunkareblog-dpiaywv6v2at.edgeone.app/bci-background-check-ohio-online.html

Page Load Overview

2.18s
Total Load Time
13
HTTP Requests
12
Domains
32 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,977 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
67%
documentation technical
67%
technology software
65%
e-commerce shopping
61%
blog personal website
49%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7104.18.10.207United States
AS13335Cloudflare, Inc.
1101.33.10.10Frankfurt am Main, Hesse, Germany
154.192.35.72United States
AS16509Amazon.com, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1172.240.127.234United States
AS7979Servers.com, Inc.
1172.240.127.244United States
AS7979Servers.com, Inc.
1142.251.20.95United States
AS15169Google LLC
137--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17472EA279ED012383722018970CA72ECFA298437D7468CF4B8EDB37C5B856DB9577255

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBfhnYf8zX+d2cqR0Iea8C5njwux80Njag4n+5V:PQfhnz+d2cqR0IgCvNjag4+H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17397:Ao2SyAkJIEGkEKG00xGQcQR+wC+ISwgEhQKAnCGMKTVhACgcnBRIC8UZEqpmDQoBMBJkhgrEBAUYBtEREumCCKMCbKUjqKII

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:3d3d1901093d3d3d
Perceptual Hash:8a3ccf923333cc99
Difference Hash:6971710d69616161
Wavelet Hash:3d3d1901193d3d3d
Color Hash:#ac5372

Other Hashes

Crop Resistant:6971710d69616161

Scan History

Scan history not available

Unable to load historical scan data