Security Scan Report: sibawayh-aaf.pages.dev

Redirected to:
https://sibawayh-aaf.pages.dev/
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Submitted: Completed: publiccompleted
This website contacted 9 IPs in 2 countries across 5 domains to perform 37 HTTP transactions. The main domain is pages.dev and was registered 6 years ago.

Submitted URL: http://sibawayh-aaf.pages.dev/

Effective URL:
https://sibawayh-aaf.pages.dev/
Redirected

AI Security Verdict

Safe Website

Confidence: 74%

1
Risk Score

In-development Arabic-language education site on a pages.dev subdomain. Self-branding, no forms, no payment or credential collection, and no threat-intelligence, YARA or behavioural hits.

Safety Factors (5)
No credential or payment forms present on the page
Own-brand self-identification consistent with the hosting subdomain
No Indicators of Compromise, YARA matches, Safe Browsing hits, or malicious JavaScript behaviour
External resources limited to Google Fonts and Yandex Metrica, both common on legitimate sites
Page self-describes as a draft with placeholder content, consistent with an in-development site rather than a deception
Domain age information unavailable

Details

Page Title

Институт Сибавейх — арабский язык как наука · онлайн

Scan Type

public

Domain Name Analysis

The domain 'sibawayh-aaf.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'sibawayh-aaf'. The core label 'pages' covers 5 characters containing two vowels alongside three consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sibawayh-aaf.pages.dev/

Page Load Overview

1.96s
Total Load Time
979 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:80%
Script:Cyrillic
Direction:ltr

Detection Details

HTML Lang Attribute:ru
Text Length:3,257 chars
Detector Agreement:80%

Website Classification

Primary Category

education learning98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
98%
government public service
90%
documentation technical
59%
healthcare medical
53%
phishing scam
42%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.66.47.193Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4172.66.44.63Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4142.251.110.95Google · CDNUnited States
AS15169Google LLC
4192.178.183.94Google · CDNUnited States
AS15169Google LLC
487.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
477.88.21.119Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
4142.251.14.95Google · CDNUnited States
AS15169Google LLC
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
487.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
379--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146A24375A5A410AF04139BCAD218770978E6F5BFBA8B161031BD0AF957D3CE4D40BB1E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VsyrHIIS7iM/CCzOMaxN7IzdTzTiQXcSEZ9:ZHIIS7JlMRUThXcSEZ9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21490:gMPKIIBAprYqeRKkIoEZQLQIlstUZgAWQwkORFhqGAAEAEJgAAZUHAIOB5cASIA4NEMRIABIUAODJVNAgWho1MIkSAUGN4ho

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:ff8f8f9f8f9f9cfc
Perceptual Hash:9ca9c7aec1aeb130
Difference Hash:2a303132382b24d4
Wavelet Hash:ff8e8f87808190fc
Color Hash:#d22d9b

Other Hashes

Crop Resistant:2a303132382b24d4

Scan History

Scan history not available

Unable to load historical scan data