Security Scan Report: cf-st.sc-cdn.net

Submitted: Nov 26, 2025, 6:09:47 AMCompleted: Nov 26, 2025, 6:12:40 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cf-st.sc-cdn.net.

Submitted URL: https://cf-st.sc-cdn.net/

The Cisco Umbrella rank of the primary domain is #756 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
High Cisco Umbrella ranking indicates reputable domain
No suspicious content or redirects observed
Domain age information unavailable

Details

Page Title

cf-st.sc-cdn.net

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(61%)

Domain Information

Domain 'cf-st.sc-cdn.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'cf-st'. The core label 'sc-cdn' covers 6 characters containing 0 vowels alongside 5 consonants, plus 1 hyphen. Tokenizing the label suggests three words: sc, cd, n. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cf-st.sc-cdn.net/

Page Load Overview

0.46s
Total Load Time
3
HTTP Requests
1
Domains
0 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:308 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content61% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
61%
cryptocurrency blockchain
61%
government public service
58%
news media journalism
56%
real estate property
49%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
33.163.248.4United States
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AD048F77329A063D86558498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsze2bMy8OldU:MhoC9J395CbZgLtSL3gcrsa2eAS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183573:CDFBAGiAzACCggU8AJjrRGp1iyQAAikAOxwGiOciDooUBABgAQEAgBApEAGRwAMgRMyBf2AjYJEwggTzwIkFQQwLfKAwhonE

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:7f7f07013fffffff
Perceptual Hash:bb03c0c46e3f7895
Difference Hash:c0c0596b60000000
Wavelet Hash:7f7f010010f0c0c0
Color Hash:#73783a

Other Hashes

Crop Resistant:c0c0596b60000000

Scan History

Scan history not available

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