Security Scan Report: vunamar.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 37 IPs in 4 countries across 26 domains to perform 46 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://vunamar.pages.dev/post/jodi-no-1-vijay-tv-season-2-contestants/

AI Security Verdict

Moderate Risk

Confidence: 60%

3
Risk Score

Scraped Vijay TV fan-blog content farm on an unranked pages.dev subdomain; no forms, impersonation, IoC or malware found, so it is low-quality spam rather than a phishing or malware threat.

Risk Factors (3)
Unranked domain on a free shared hosting namespace (pages.dev) — reputation and age are unknown
Auto-generated/scraped aggregator content with unrelated image captions (content-farm pattern)
Advertising script loaded from an unranked third-party host (blissfuldes.com)
Safety Factors (5)
No credential, login or payment form on the page (0 password fields, 0 payment fields)
No Indicators of Compromise matches, no YARA malware patterns, no known phishing kit in the kit roster
No brand impersonation — 'Vijay TV' appears only as the subject of the article, and the site brands itself as its own blog ('Romanvu')
No credential exfiltration; the only cross-origin request is Google Analytics
No obfuscated JavaScript with a network sink or hidden/mismatched link anchors
Domain age information unavailable

Details

Page Title

Jodi No 1 Vijay Tv Season 2 Contestants - Jodi is my most most favorite show in vijay tv, jodi season 4 and season 5 is my all time favorite, still watching in youtube. - Romanvu

Scan Type

public

Domain Name Analysis

You're looking at domain 'vunamar.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'vunamar'. Count 5 characters in 'pages' holding two vowels versus three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vunamar.pages.dev/post/jodi-no-1-vijay-tv-season-2-contestants/

Page Load Overview

2.83s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,000 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media40% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
40%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.66.44.57Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
192.113.23.72Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1192.178.183.132Google · CDNUnited States
AS15169Google LLC
1104.21.30.46Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
4637--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171D20B9649D90523030203E42237AAFEF2569429F32787DCB41F10E97787D62877BAF9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ZJlwWF7C7S/NRPCY7Mkwbc4ylPbqoYocJeDYZYZuP+/+c:ZJGWF7Cu/NRPCOMkGcTlPGoYocJeDYZO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30075:BMACLNECSg1ISokGLAGgQEBsQgAjYAAFFRhFiZdIA8qknYCYjddSAKVIJgKQ5UIBH4IYEQRCAkjAFXiCBwAYsASGAVBCgIEA

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:ffcfc7c78787ffff
Perceptual Hash:b0cecd3036c53ccd
Difference Hash:281c2e0f0e3e96d2
Wavelet Hash:9e8783838383c3fb
Color Hash:#6a2d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data