Security Scan Report: ziparvel.pages.dev

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Submitted: Sep 18, 2026, 5:43:23 PMCompleted: Sep 18, 2026, 5:44:08 PMpubliccompleted

This website contacted 34 IPs in 4 countries across 26 domains to perform 45 HTTP transactions. The main domain is ziparvel.pages.dev and was registered 18 years ago.

Submitted URL: https://ziparvel.pages.dev/post/eswaran-video-songs-download-isaimini/

AI Security Verdict

Moderate Risk

Confidence: 60%

3
Risk Score

Low-quality SEO/piracy-link aggregation blog on free pages.dev hosting. No forms collect credentials or payment, and no malware, IoC or impersonation was found; risk is spam/piracy-related, not phishing.

Risk Factors
Content aggregation page monetizing/pointing to pirated movie and music downloads
Free shared-hosting subdomain with unverifiable page age typical of throwaway SEO farms
Keyword-stuffed, machine-translated spam text across multiple languages
Safety Factors
No credential, login, password or payment form (only a site-search box)
No Indicators of Compromise against the page or its resources
No JavaScript malware/YARA patterns and no credential exfiltration detected
No brand impersonation — page uses its own 'Parzivel' name, not a third party's identity
Domain age information unavailable

Details

Page Title

Eswaran Video Songs Download Isaimini - Right now, only two songs of eeswaran are out! - Parzivel

Scan Type

public

Domain Name Analysis

The domain 'ziparvel.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'ziparvel'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ziparvel.pages.dev/post/eswaran-video-songs-download-isaimini/

Page Load Overview

8.38s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,088 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
61%
entertainment media
43%
news media journalism
27%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12172.66.44.131Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1108.181.247.71Dallas, Texas, United States
AS40676Psychz Networks
113.248.213.45Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1103.224.212.141Australia
AS133618Trellian Pty. Limited
1192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
1192.178.183.119Google · CDNUnited States
AS15169Google LLC
165.9.130.25Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4534--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14431442E0C04C837652742A5366AF35DF5DB152AF152D570F8A689B91ED1DD1CD13086

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JVA1NBmdBpWRTNpCXz8mPVjEMUWr0m5FwUngQ:JVA78dLJVLs1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1714:gAAEAIUAwAAgAwAAAAAAAAAIAAAAAAAAAAAEAAAQADCAAAAAICCAAAAAAAIgSAAAAAAwAgCAAAABCAACAYIBCAYAABQAAAAA

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:ffcfe78787c7ffff
Perceptual Hash:b032cd3836c7c73c
Difference Hash:283c1e0f2f1ed2c2
Wavelet Hash:9e8783838183d3fb
Color Hash:#4e931f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data