Security Scan Report: webberita.pages.dev

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Submitted: Jul 20, 2026, 10:15:34 AMCompleted: Jul 20, 2026, 10:16:48 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is webberita.pages.dev and was registered NaN years ago.

Submitted URL: https://webberita.pages.dev/category/jejak-sejarah

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site shows no malicious forms, IoCs, or malware and is hosted on a reputable platform; overall risk is low.

Safety Factors
Hosted on a well‑known static‑site platform
No external malicious resources loaded
No suspicious JavaScript behavior
Domain age information unavailable

Details

Page Title

Kategori: JEJAK SEJARAH | CHRISTIANDAILY NEWS INDONESIA

Scan Type

public

Language

🇮🇩

ID

(50% confidence)

Category

healthcare medical

(48%)

Domain Information

Domain 'webberita.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'webberita'. The core label 'pages' covers 5 characters split between two vowels and 3 consonants. Word splitting yields 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://webberita.pages.dev/category/jejak-sejarah

Page Load Overview

7.42s
Total Load Time
27
HTTP Requests
2
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:50%
Script Type:Unknown
Text Length:1,907 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical48% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
272--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ECD2D828338C103B612347DEF4C1BB2862E5F37AC6835DDEF3AA82759787CE95916851

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:nbSv2fFEfFmO6V/aOgCoVeJw+9wCk8dDFh6IyorVWf:nbe2fFEfFKVSXCgGw+9wCk8dv6IyoJI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29312:cAsIm4MqAEAgAIcQCOFJCICrU4QLSDCBFIBkBAQkAFIcLCNZiAQyNC0z2G4HAUpYsGhRNhDACeAGEC0HRAIgQABdARDCk0Ah

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:00e7e79f999ffbfb
Perceptual Hash:bc36631e1c43433f
Difference Hash:2e0f0f333333d312
Wavelet Hash:0081c3999999fbfb
Color Hash:#87c5a2

Scan History

Scan history not available

Unable to load historical scan data