Security Scan Report: manusas.pages.dev

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Submitted: Sep 13, 2026, 11:50:39 PMCompleted: Sep 13, 2026, 11:52:41 PMpubliccompleted

Summary

This website contacted 34 IPs in 4 countries across 22 domains to perform 2 HTTP transactions. The main domain is manusas.pages.dev and was registered 6 years ago.

Submitted URL: https://manusas.pages.dev/posts/dera-baba-murad-shah-ji-nakodar-amardas-colony-nakodar-punjab

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

Personal Hugo blog gallery page about a Punjabi shrine. No credential/payment forms, no brand impersonation, no Indicators of Compromise or malware. Only weakness is unranked shared-hosting subdomain of unknown age.

Risk Factors
Hosted on the shared pages.dev platform as an unranked subdomain of unknown creation age
Safety Factors
No credential-harvesting or payment form of any kind
No brand impersonation — title/meta match the site's own 'Sasunam' identity
No Indicators of Compromise, YARA hits, or Safe Browsing threats
Content is a standard travel/photo blog page with an unrelated search box
Domain age information unavailable

Details

Page Title

Dera Baba Murad Shah Ji Nakodar Amardas Colony Nakodar Punjab : Banda gareeb he latest live hamsar hayat nakodar baba murad shah ji mela 2018. - Sasunam

Scan Type

public

Language

🇮🇩

ID

(25% confidence)

Category

travel tourism

(67%)

Domain Information

The domain 'manusas.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'manusas'. The registrable portion 'pages' spans 5 characters split between two vowels and three consonants. It segments into one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://manusas.pages.dev/posts/dera-baba-murad-shah-ji-nakodar-amardas-colony-nakodar-punjab

Page Load Overview

85.20s
Total Load Time
41
HTTP Requests
22
Domains
2.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:25%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:25%
Script Type:Unknown
HTML Lang Attribute:en
Text Length:6,244 chars
Detector Agreement:80%
Language mismatch: Declared as en but detected as id

Website Classification

Primary Category

travel tourism67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

travel tourism
67%
news/blog
20%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
895.100.248.89Akamai · CDNBerlin, State of Berlin, Germany
AS20940Akamai International B.V.
118.66.147.128Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.251.127.97Google · CDNUnited States
AS15169Google LLC
1172.66.44.122Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1185.15.59.240United States
AS14907Wikimedia Foundation Inc.
13.161.76.68Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.250.154.119Google · CDNUnited States
AS15169Google LLC
192.113.23.229Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1142.251.14.132Google · CDNUnited States
AS15169Google LLC
1103.118.160.16India
AS137646Department of Governance Reforms
4134--

Page Statistics

41
Requests
22
Unique Domains
2.5 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DE31463A0C05D47B172343F6312AB74CF8C7462AB302D960F49E99A65DE2F91CD57545

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JUlXtwAbvkyqq01NBmkoTNpCXz8mPVjEjBWr0m5FwUngQ:JwmADkf978yVyl1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1756:IAIAAAgQKAIAA0AAAACAAAAAAAABAAAEgAAAAQAAARBQBAAAAAAAAACQgBAgAAIAAAAQACAgAEEAIAAQIAAEEAyAAAAAAAEA

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:ffcfffcf878787df
Perceptual Hash:b8c7cf30cd88c738
Difference Hash:301c1e3e3e3e3e36
Wavelet Hash:dfc7c383838383c3
Color Hash:#66ac53

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data