Security Scan Report: manusas.pages.dev

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Submitted: Sep 12, 2026, 11:59:02 PMCompleted: Sep 12, 2026, 11:59:42 PMpubliccompleted

Summary

This website contacted 32 IPs in 3 countries across 20 domains to perform 2 HTTP transactions. The main domain is manusas.pages.dev and was registered 21 years ago.

Submitted URL: https://manusas.pages.dev/posts/akash-jagga-instagram/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Low-quality but harmless celebrity-content blog on Cloudflare Pages. No forms, no impersonation, no malware or threat-intel hits — nothing beyond an unranked hostname and thin content.

Risk Factors
Content is thin celebrity/image aggregation content of low editorial quality
Unranked domain on a shared hosting subdomain (pages.dev) with unknown page age
Safety Factors
No credential, payment, or login forms present (search form only, pointing at google.com)
No brand impersonation — page displays its own 'Sasunam' branding
No Indicators of Compromise, YARA malware hits, obfuscated network sinks, or exfiltration detected
No cross-origin credential handling; external requests limited to fonts, CDNs, and image hosts
Domain age information unavailable

Details

Page Title

Akash Jagga Instagram - If you always do what you always did, you'll always get what you always got. - Sasunam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(59%)

Domain Information

The domain 'manusas.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'manusas'. Count 5 characters in 'pages' split between 2 vowels and three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://manusas.pages.dev/posts/akash-jagga-instagram/

Page Load Overview

3.75s
Total Load Time
50
HTTP Requests
20
Domains
823 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,871 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network59% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
59%
entertainment media
45%
gambling betting
42%
education learning
34%
government public service
29%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.26.13.129Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
195.101.74.67Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
12.18.244.224Schiphol, North Holland, Netherlands
AS20940Akamai International B.V.
1146.75.121.91Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.27.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.119Google · CDNUnited States
AS15169Google LLC
1157.240.0.63Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
5032--

Page Statistics

50
Requests
20
Unique Domains
1.0 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FB31753F1C84D43B2A1343B5317AB35CF8C7562BB242D570F4AAC9AA6EE1F81CD1644A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Jr01NBm3sQTNpCXz8mPVjEjBWr0m5FwUngQ:J4783snVyl1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1670:AACQCAAJAACAAgAAEIAABEDIAEAAEAAAAAABAQAEAAAAAAAAABAACAAAAAAgAgAAAABQAAIAEQAgABEAEgAAAAUAgCAAAAgA

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:ffcfdfc7c7c7c7c7
Perceptual Hash:b0cece31c631cec9
Difference Hash:281c3e1e1e9e9e1e
Wavelet Hash:dfc7c38383878383
Color Hash:#4084bf

Scan History

Scan history not available

Unable to load historical scan data