Security Scan Report: edge-hls.doppiocdn.net

Submitted: Apr 9, 2026, 12:47:11 AMCompleted: Apr 9, 2026, 12:48:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is edge-hls.doppiocdn.net and was registered NaN years ago.

Submitted URL: https://edge-hls.doppiocdn.net

The Cisco Umbrella rank of the primary domain is #47,401 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'edge-hls.doppiocdn.net' on the network infrastructure generic top-level domain (.net) with subdomain 'edge-hls'. Count 9 characters in 'doppiocdn' with 3 vowels and six consonants. Word splitting yields four words: do, ppi, ocd, n. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://edge-hls.doppiocdn.net

Page Load Overview

0.24s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:9 chars
Detector Agreement:0%

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
218.245.46.99United States
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T129C080B6C011850D5B3015F4C982B5545E0C520DD1311F5075D0D194E444D67C08329C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxVsws+7L9Hv8+5BQhBbZ6i83PvXE11YIIPvdHYyj2eB4Aoqa:qzxV/5VHHoB96D3ne1k9YyieBe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c39e44a7d28f7eb1d67d75c973dd35fc

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#a853ac

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

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