Security Scan Report: manusas.pages.dev

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Submitted: Sep 16, 2026, 11:58:55 AMCompleted: Sep 16, 2026, 11:59:41 AMpubliccompleted

This website contacted 30 IPs in 5 countries across 22 domains to perform 43 HTTP transactions. The main domain is manusas.pages.dev and was registered 6 years ago.

Submitted URL: https://manusas.pages.dev/posts/gala-assignment-std-12-commerce-2020-answers/

AI Security Verdict

Low Risk

Confidence: 65%

2
Risk Score

Low-quality educational assignment blog on pages.dev with a search-only form, no impersonation, no credential harvesting and no threat-intel hits. Low risk.

Risk Factors
Hosted on a shared publishing platform (pages.dev) with no published subdomain age — page could be newly created
Unranked domain (not in Cisco Umbrella top 1M) with low-quality, keyword-stuffed aggregator content
Safety Factors
No Indicators of Compromise, no YARA malware, no known-kit matches
No credential or payment forms — verified field counts are all zero except a single search form
Site displays its own brand ('Sasunam') rather than impersonating another organisation
Content-analyzer classification is benign (education learning, 84%)
Domain age information unavailable

Details

Page Title

Gala Assignment Std 12 Commerce 2020 Answers / This solution is made by our teachers. - Sasunam

Scan Type

public

Domain Name Analysis

The domain 'manusas.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'manusas'. Count 5 characters in 'pages' with 2 vowels and 3 consonants. Segmentation suggests 1 word: pages. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://manusas.pages.dev/posts/gala-assignment-std-12-commerce-2020-answers/

Page Load Overview

3.30s
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:5,909 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
84%
government public service
52%
e-commerce shopping
38%
adult content
32%
corporate business
32%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14142.251.127.119Google · CDNUnited States
AS15169Google LLC
172.60.102.171Mumbai, Maharashtra, India
AS47583Hostinger International Limited
1192.178.183.119Google · CDNUnited States
AS15169Google LLC
1192.178.183.132Google · CDNUnited States
AS15169Google LLC
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1207.207.210.229Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
1172.66.44.122Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1128.199.19.239Bengaluru, Karnataka, India
AS14061DigitalOcean, LLC
1194.76.37.14Roubaix, Hauts-de-France, France
AS16276OVH SAS
4330--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC31882F0C04E43B2B5753F63539B75CF8D7452EB202D960F4EA8A991EE1F81CE16046

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jxl01NBmP1TNpCXz8mPVjEjBWr0m5FwUngQ:Jxm78kVyl1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1710:AAAABKgAIAEABgAGEAAAggAAAAgAAAgAAAAAAAAACAAAAAAhiABCAAAIBBAgAICBEKAQAAAECAAAAABAAQAGAAQACAAAAAQB

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:ffcfc787c7c7cf87
Perceptual Hash:b0cecccf32cc34c3
Difference Hash:283c3e1e1a1e960e
Wavelet Hash:df8783c3c383c383
Color Hash:#867d2d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data