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Security Scan Report: suslog.pages.dev

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/0fef6fde-5153-4fea-bdd9-82b4656e443cDomain and IP registration (RDAP)/api/v1/rdap/0fef6fde-5153-4fea-bdd9-82b4656e443cHow often this domain was scanned/api/v1/domain/stats/suslog.pages.devScan history for this domain/api/v1/domain/history/suslog.pages.dev?limit=15
This website contacted 9 IPs in 1 country across 4 domains to perform 39 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: https://suslog.pages.dev/blog/what-happens-after-you-die/

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Self-branded science blog article on pages.dev with no forms, impersonation, malware, or threat-intel matches. Generic pages.dev IDS notices are informational only.

Safety Factors (5)
Self-branding matches the suslog.pages.dev domain
No forms or credential collection on the page
Article-style content with science/educational subject matter
No indicators of compromise or malware detections
No brand impersonation of a different entity
Domain age information unavailable

Details

Page Title

What Happens After You Die? | SusLog

Scan Type

public

Domain Name Analysis

The domain 'suslog.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'suslog'. The second-level label 'pages' is 5 characters long containing 2 vowels alongside three consonants. Breaking it apart gives 1 word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://suslog.pages.dev/blog/what-happens-after-you-die/

Page Load Overview

1.69s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,260 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical70% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
70%
healthcare medical
62%
government public service
56%
adult content
45%
technology software
41%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.156Google · CDNUnited States
AS15169Google LLC
4142.251.110.155Google · CDNUnited States
AS15169Google LLC
4142.251.110.157Google · CDNUnited States
AS15169Google LLC
4142.251.110.154Google · CDNUnited States
AS15169Google LLC
4142.251.20.154Google · CDNUnited States
AS15169Google LLC
4142.250.154.132Google · CDNUnited States
AS15169Google LLC
4142.251.20.156Google · CDNUnited States
AS15169Google LLC
399--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E2633B26B254573A066301DA371F27DAF37580A8D2305224B5ED836D23C6CAF927BDE9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:DxQKBpd5qj2EaRWLQcfPMSzmlKNLEAEUZGfAhWIgC+rSQuMIEzIomsx/gPUIqQ1:D/BDAjPTQ48AE3+J+rYMrx7IUhQ1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69315:KABAMgGKBoAEdVBIiAHNv4QhVawU0yKRCJDCsISPAEYEAFEQyIXLmYBU6ALDStwICgxyAhRTJlCEgCASFg0AncuymBgDSHgJ

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:cf8581818181c1ff
Perceptual Hash:ba3a946c8569cdc5
Difference Hash:3d3d393b3b230360
Wavelet Hash:ff8d85818181c1ff
Color Hash:#b7bf40

Other Hashes

Crop Resistant:3d3d393b3b230360,5c5cdc7c38f2600b

Scan History

Scan history not available

Unable to load historical scan data