Security Scan Report: snowloadi.pages.dev

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Submitted: Sep 23, 2026, 1:53:40 AMCompleted: Sep 23, 2026, 1:55:51 AMpubliccompleted

This website contacted 25 IPs in 5 countries across 22 domains to perform 30 HTTP transactions. The main domain is snowloadi.pages.dev and was registered 2 months ago.

Submitted URL: https://snowloadi.pages.dev/post/bandook-meri-laila-song-320-kbps/

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Unknown-age .pages.dev subdomain hosting an auto-generated MP3-download spam page. No credential/payment form, no brand impersonation, no malware. Only a generic abuse-reputation tag on a third-party IP — weak, unverified signal. Low-to-moderate risk.

Risk Factors (2)
Content pattern consistent with SEO spam / auto-generated download doorway page
Free platform subdomain with unknown real creation date
Safety Factors (5)
No credential, login, or payment form (password fields = 0, payment fields = 0)
No brand impersonation — 'Sembilu' is the site's own self-branding
No JavaScript malware (YARA) matches and no obfuscated-JS network sink corroborated
No Google Safe Browsing, IDS phishing/malware, or content-malware Indicators of Compromise
Threat-intel match is a generic abuse-reputation tag on an unrelated third-party resource address, not content evidence
Domain age information unavailable

Details

Page Title

Bandook Meri Laila Song 320 Kbps : Mp3 uploaded by size 0b, duration and quality 320kbps. - Sembilu

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'snowloadi.pages.dev' is registered with subdomain 'snowloadi'. The core label 'pages' covers 5 characters holding 2 vowels versus 3 consonants. Splitting it apart reveals 1 word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snowloadi.pages.dev/post/bandook-meri-laila-song-320-kbps/

Page Load Overview

80.06s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:4,376 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
45%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.45.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
13.7.49.235Aws · CLOUDMumbai, Maharashtra, India
AS16509Amazon.com, Inc.
12.18.244.205Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
1172.66.169.65Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.247.81.99Canada
AS206834Team Internet AG
1142.250.154.119Google · CDNUnited States
AS15169Google LLC
1146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1192.249.121.183United States
AS22611InMotion Hosting, Inc.
3025--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11E31963E0D05D43B193343A53129B75DF5D7153E7602D860F4AAC9AE1EE1E81CD17486

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jv1NBmkUVRTNpCXz8mPVjEEcWr0m5FwUngQ:Jv78kUVwVRk1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1736:QABRAQAAAAgAogAAAAAAAAAAAAAgBAIAAAAGAAAEgIgAAAAAIAADBAAQAAAgAiAAJAAQAkQiQAAAoAIAAAAQAKQJAAAAAAAA

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:ffcfffffc7c7c7cf
Perceptual Hash:b0cfce30cf2cc730
Difference Hash:282c161e1e9e1e1c
Wavelet Hash:9e87d3c3838383c7
Color Hash:#78763a

Scan History

Scan history not available

Unable to load historical scan data