Security Scan Report: v1-l3.bangcdn.net

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Submitted: Jul 26, 2026, 3:20:27 PMCompleted: Jul 26, 2026, 3:22:08 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is v1-l3.bangcdn.net and was registered NaN years ago.

Submitted URL: https://v1-l3.bangcdn.net

The Cisco Umbrella rank of the primary domain is #27,437 of the top 1 million websites

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

documentation technical

(43%)

Domain Information

You're looking at domain 'v1-l3.bangcdn.net' on the network infrastructure generic top-level domain (.net) and includes subdomain 'v1-l3'. The core label 'bangcdn' covers 7 characters holding 1 vowel versus six consonants. Word splitting yields 3 words: bang, cd, n. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of v1-l3.bangcdn.net

Page Load Overview

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

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:664 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical43% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
43%
cryptocurrency blockchain
36%
technology software
34%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.209Singapore
21--

Page Statistics

2
Requests
1
Unique Domains
1.1 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D6194A5DAA306B1D077C4E00BFF772632E6D03BD6966219E79C53988FCDD40B812D05

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:niFWN15AN427zKsqwxczguVPAu4EgukLugeuuiV7uuwid29tF:niFWN15eVGHk8P94Edk6g7XVq4m7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3441:ACAAEAAEAAAgJAAJFAEAkIEARElIgECwEAAAYUACAocABAEBEECIAZBEAAIEAYAAAhACAIQAEClAACgECIAAAEAAFggiQAAD

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:001fffffffffffff
Perceptual Hash:8c0c0e0f0f3f7979
Difference Hash:f0e0000000000000
Wavelet Hash:001fffff00000000
Color Hash:#87c5b5

Other Hashes

Crop Resistant:f0e0000000000000

Scan History

Scan history not available

Unable to load historical scan data