Security Scan Report: tonmang.pages.dev

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Submitted: Oct 3, 2026, 2:19:39 PMCompleted: Oct 3, 2026, 2:21:56 PMpubliccompleted

This website contacted 39 IPs in 6 countries across 28 domains to perform 47 HTTP transactions. The main domain is tonmang.pages.dev and was registered 6 years ago.

Submitted URL: https://tonmang.pages.dev/posts/sanjay-dutt-vastav-hd

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Static wallpaper/entertainment blog on pages.dev with no credential or payment forms, no malware and no brand impersonation. Only signals are an unranked host and a generic reputation tag on a third-party IP.

Risk Factors (1)
Unranked host and unknown real subdomain creation date on a free publishing platform (weak prior only)
Safety Factors (4)
No credential or payment form anywhere on the page
No brand impersonation: 'Sanjay Dutt' / 'Venus movies' are content subjects of a wallpaper blog, not a claimed identity
No YARA malware, no malicious kit, no credential exfiltration, cross-origin JS limited to google-analytics
Static, openly generated site (Hugo + Mainroad theme) with ordinary search/comment-free structure
Domain age information unavailable

Details

Page Title

Sanjay Dutt Vastav Hd : Venus movies 20.539.380 views4 year ago. - Mangtong

Scan Type

public

Domain Name Analysis

The domain name 'tonmang.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'tonmang'. The second-level label 'pages' is 5 characters long split between two vowels and three consonants. Segmentation suggests one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tonmang.pages.dev/posts/sanjay-dutt-vastav-hd

Page Load Overview

80.16s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,177 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
73%
news media journalism
31%
social media network
26%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.217.208.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1185.151.30.183United Kingdom
AS4825420i Limited
1143.244.136.249Bengaluru, Karnataka, India
AS14061DigitalOcean, LLC
123.53.40.33Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.16.79.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.247.81.99Canada
AS206834Team Internet AG
13.167.227.3Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4739--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D0D2DA568FDC943B1B8107987B25AABCD5C76491F6538FE5B00D34982740BE6C83B9E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:GJl803HjRYxyhNhYhxSbIOHgFEeSamegvE4xCRf//bE4iJPCTVNmrW/sF3c:GJS03HjWxyhNhYhxSMpFEeZmegvE4IRv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29984:AxRDQBBLDJYIShicjhEdJSABuA4tJoGqMcMGBhIxkFDopCViSLACJBFoFAtNoTCQDWAANAAppAQoRoAx1xgQWIQwJAEjskkC

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:ffff8787c787d7ff
Perceptual Hash:b493c9cc333636c9
Difference Hash:28182f0d2f2d2e92
Wavelet Hash:df8f8387838383c3
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data