Security Scan Report: pariganus.pages.dev

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Submitted: Completed: publiccompleted
This website contacted 33 IPs in 4 countries across 25 domains to perform 41 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://pariganus.pages.dev/post/up-deled-info-in/

AI Security Verdict

Moderate Risk

Confidence: 65%

4
Risk Score

Likely an auto-generated SEO spam page with scraped, keyword-stuffed content. No credential, payment, impersonation, or malware indicators, but low trust and unknown pages.dev origin merit caution.

Risk Factors (2)
Automatically generated/scraped content resembling a low-quality SEO spam or content farm page
Keyword stuffing around unrelated topics with no coherent editorial purpose
Safety Factors (4)
No password, payment, or disguised credential fields were found
No Indicators of Compromise, YARA malware, or Safe Browsing hits
Does not impersonate a brand; displays its own 'Kiringan' branding
Cross-origin requests are limited to standard Google Analytics
Domain age information unavailable

Details

Page Title

Up Deled Info In - 4 easy steps to delete other space and speed up your mac. - Kiringan

Scan Type

public

Domain Name Analysis

The domain name 'pariganus.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'pariganus'. Count 5 characters in 'pages' containing 2 vowels alongside three 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://pariganus.pages.dev/post/up-deled-info-in/

Page Load Overview

80.10s
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:6,413 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
50%
cryptocurrency blockchain
39%
government public service
35%
technology software
27%
documentation technical
26%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9172.66.47.59Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
115.197.212.58Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.202.149Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.119Google · CDNUnited States
AS15169Google LLC
199.84.152.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
189.116.133.223Mumbai, Maharashtra, India
AS47583Hostinger International Limited
1104.21.32.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.132Google · CDNUnited States
AS15169Google LLC
4133--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16BD20B6646D81823070317C2BB26BF6DEE16C01DD2278AD9B44D60EDAB05FE2972F5B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:zZJl30jrJI1/sp1hYheEBqoTk4WNgC9F3898LlgdCANGhYhbMBga50nDHAHLlmj3:1JB0fJI1/sp1hYhNBqoTk4EgC9F3898G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29089:FkaDJJAaC9KIIiQaSQ7iSZUBaNIAJyAyMQCCwtUcckYDopKq5CTIBAAEToEQIAFoCAEEqkxMAWQMQ0EhcEeIUV2MdJEIxaMo

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:dfcfffffc7c7c383
Perceptual Hash:b0cf383689c738c7
Difference Hash:281c16921e0e0e1e
Wavelet Hash:9f87cbcb83838383
Color Hash:#d2c679

Other Hashes

Crop Resistant:281c16921e0e0e1e

Scan History

Scan history not available

Unable to load historical scan data