Security Scan Report: bor77.pages.dev

Redirected to: https://bor77.pages.dev/

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Submitted: Jan 30, 2026, 7:13:58 AMCompleted: Jan 30, 2026, 7:15:38 AMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 25 domains to perform 1 HTTP transaction. The main domain is bor77.pages.dev and was registered NaN years ago.

Submitted URL: http://bor77.pages.dev/

Effective URL: https://bor77.pages.dev/Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Page impersonates Twitter on an unranked pages.dev subdomain; treat as phishing.

Risk Factors
Brand impersonation (Twitter) on an untrusted domain
Subdomain on hosting platform with unknown age
Unranked domain in Cisco Umbrella
Domain age information unavailable

Details

Page Title

Akhirnya, Misteri Kisah KKN di Desa Penari Terungkap

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

news media journalism

(88%)

Domain Information

The domain 'bor77.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'bor77'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Breaking it apart gives one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://bor77.pages.dev/

Page Load Overview

6.15s
Total Load Time
156
HTTP Requests
42
Domains
3.3 MB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:9,939 chars
Detector Agreement:75%

Website Classification

Primary Category

news media journalism88% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
88%
education learning
87%
social media network
80%
entertainment media
79%
government public service
74%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9138.199.24.219Singapore, Singapore
AS60068Datacamp Limited
7172.217.18.10United States
AS15169Google LLC
7157.240.0.174Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7142.251.141.99United States
AS15169Google LLC
7172.64.155.82United States
AS13335Cloudflare, Inc.
7142.250.185.142United States
AS15169Google LLC
7142.250.184.227United States
AS15169Google LLC
7142.251.208.162United States
AS15169Google LLC
7142.251.141.98United States
AS15169Google LLC
723.50.131.206UnknownUnknown
15622--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16163E7338DA00A2B4153D2D46076F76D29DB862BDB03B8457BFC0B676F82ED649435AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:+zTcv+pyi/gJYxw52a/tPeNIF/A3RyfnEhru5w0ax/v7lAssF:+Ev+pd/c4w065/gZu5Iv7i

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70442:JhKAwLOVBppwR8DQwJKIywMIMAUKELQioJQ9JGIQxArMkkhAmqhsIABIB4EgiGImuF8oCGqIyB0iAJElCokuYa6AIQEEEYcH

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:0000fffbc3c7c7ff
Perceptual Hash:bc43123ccdb692e9
Difference Hash:74f12d32332f2e16
Wavelet Hash:0000cffb8383c7ff
Color Hash:#352dd2

Scan History

Scan history not available

Unable to load historical scan data