Security Scan Report: d.line-scdn.net

Submitted: Dec 3, 2025, 7:55:24 AMCompleted: Dec 3, 2025, 7:57:23 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is d.line-scdn.net and was registered NaN years ago.

Submitted URL: https://d.line-scdn.net/

The Cisco Umbrella rank of the primary domain is #8,554 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain
High Cisco Umbrella reputation
No suspicious content or forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(52% confidence)

Category

documentation technical

(36%)

Domain Information

The domain 'd.line-scdn.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'd'. The registrable portion 'line-scdn' spans 9 characters containing 2 vowels alongside 6 consonants, plus 1 hyphen. Tokenizing the label suggests three words: line, scd, n. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://d.line-scdn.net/

Page Load Overview

0.89s
Total Load Time
2
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:52%
Script Type:Latin
Text Length:447 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical36% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
36%
government public service
28%
cryptocurrency blockchain
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2184.27.133.253Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
123.52.181.139Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1465152A5EDE30A651037C9E01AFE676331EAC037D19B6116FA9CA398CFCDC40B821901

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:ca7PiFWN1QGTUe0427F9Zk1ncqugukVPANyAgNMV+N+CFFNKFertF:niFWN15AN427z+czgumPANhgNMV+NNLh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2977:ACAAEAAUIAAABACAUAEAkIAABUgIIAQoQAAIIAASAoGABAAACECIQRJAEQAEAAAAIBAKAACCEAlABCgAKAAAAAAAAIACAAAB

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:00071fffffffffff
Perceptual Hash:9f1f1f6262e26261
Difference Hash:e976760040000000
Wavelet Hash:000111fff0f0f0f0
Color Hash:#3a7778

Other Hashes

Crop Resistant:e976760040000000

Scan History

Scan history not available

Unable to load historical scan data