Security Scan Report: snowloadi.pages.dev

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Submitted: Oct 4, 2026, 7:39:24 AMCompleted: Oct 4, 2026, 7:41:38 AMpubliccompleted

This website contacted 24 IPs in 3 countries across 17 domains to perform 46 HTTP transactions. The main domain is snowloadi.pages.dev and was registered 22 years ago.

Submitted URL: https://snowloadi.pages.dev/post/er-beshi-bhalobasha-jai-na-lyrics/

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Low-quality lyrics/thumbnail aggregator on a free Cloudflare Pages subdomain. No forms capturing credentials or payment, no Indicators of Compromise, YARA or IDS malware hits; unranked and unknown-age but no concrete malicious signal.

Risk Factors (3)
Unranked domain not present in Cisco Umbrella top 1M, with hosting-platform subdomain whose actual creation date is unknown
One unranked third-party script host (blissfuldes.com) and an ad-network domain (adserver.adreactor.com) loaded by the page
Keyword-stuffed title and bulk image/resolution download links typical of low-quality scraper/aggregator content
Safety Factors (5)
No credential, password, disguised-password or payment fields anywhere on the page
No Indicators of Compromise, YARA, kit-roster or Safe Browsing detections
Only form present is a standard site search that submits to google.com
Cross-origin requests limited to Google Analytics; no credential exfiltration detected
Hugo/Mainroad static site with normal template structure and footer attribution
Domain age information unavailable

Details

Page Title

Er Beshi Bhalobasha Jai Na Lyrics : Listen to er beshi valobasha jayna by shafiq tuhin, 1,167 shazams. - Sembilu

Scan Type

public

Domain Name Analysis

The domain 'snowloadi.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'snowloadi'. The core label 'pages' covers 5 characters holding two vowels versus three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://snowloadi.pages.dev/post/er-beshi-bhalobasha-jai-na-lyrics/

Page Load Overview

80.13s
Total Load Time
809 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:4,292 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
84%
entertainment media
63%
news media journalism
48%
download file sharing
38%
adult content
28%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23172.66.45.18Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.127.119Google · CDNUnited States
AS15169Google LLC
174.63.196.62Dallas, Texas, United States
AS46475Limestone Networks, Inc.
1205.143.41.230United States
AS63362Smule Inc.
1157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1146.75.120.84Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1146.75.120.159Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1172.67.158.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4624--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14992EA91D1C44533574306C46329EBAAD8D30C0DED13A99AF47960FB4B5AF628A3F5F1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:m+Viu2lpLJegXo0heTarB0T0JZsA4pfbVTKmr5WVre0nQeQe0UN+0093Xc:mRJlpLsgY0ETiBuSyvBBTKu5WFe0nQeJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20753:ZACMQIkJIkySAkaAuMEQOcoBIeQkQMIEgEw0AYZBSwihQRQPRiAAKJaUqBUUDRDcFBcRBAiC0QmwEoMCk0SYLEUMEjCDIWUQ

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:ffffc7c7c7c7c7ff
Perceptual Hash:b2cccd33c73032cd
Difference Hash:281c1f0d0f0f1ed0
Wavelet Hash:9f878383838383ef
Color Hash:#e06c6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data