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Security Scan Report: drunk-emerald-loi3klomer-up8xjtiku5.edgeone.app

Submitted: Mar 20, 2026, 10:14:50 AMCompleted: Mar 20, 2026, 10:15:59 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is drunk-emerald-loi3klomer-up8xjtiku5.edgeone.app and was registered NaN years ago.

Submitted URL: https://drunk-emerald-loi3klomer-up8xjtiku5.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears to be a legitimate educational resource.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Standard hosting platform (edgeone.app) with no suspicious scripts
Legitimate external resources (fonts.googleapis.com, fonts.gstatic.com)
Educational content with no brand impersonation
Domain age information unavailable

Details

Page Title

CRDR Study Guide — BSRT-19-2205

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'drunk-emerald-loi3klomer-up8xjtiku5.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'drunk-emerald-loi3klomer-up8xjtiku5'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://drunk-emerald-loi3klomer-up8xjtiku5.edgeone.app/

Page Load Overview

1.35s
Total Load Time
11
HTTP Requests
3
Domains
237 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
Text Length:9,582 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.187.195United States
AS15169Google LLC
3142.251.140.170United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C2034120A2F301726493859477BB9F8E67D0E10BDD0B866536EE46D49FC7EA0CD6368C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tpI828RyVA1gDWd+WgR2lHeuuacs7jjJuJTydonFCyWNQ7QIqt7hWd:E828Ryk4Wd31HeuRRj8JTydonF5ZOhs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40346:IIj0GAxCCAlJCJKTAigZAJIkghFSQqwCASAGxgqCnTtGQHkDqoh13igIOkoIAiCueAUAYA2KgEISa6EYBBASkNAkUQVgcAAk

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:0101013d19010101
Perceptual Hash:8ad73339ccc63331
Difference Hash:01015171b3312101
Wavelet Hash:83193d7d3d7d1901
Color Hash:#862d40

Other Hashes

Crop Resistant:562680a2a0a0a08e,01015171b3312101

Scan History

Scan history not available

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