ScanMalware.com

Security Scan Report: kandugas.pages.dev

Site favicon
Submitted: Sep 10, 2026, 3:48:57 AMCompleted: Sep 10, 2026, 3:51:02 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/762fbeb2-769f-4523-9091-ae9d502c3fd6Domain and IP registration (RDAP)/api/v1/rdap/762fbeb2-769f-4523-9091-ae9d502c3fd6Certificate Transparency/api/v1/ct/kandugas.pages.devHow often this domain was scanned/api/v1/domain/stats/kandugas.pages.devScan history for this domain/api/v1/domain/history/kandugas.pages.dev?limit=15

This website contacted 29 IPs in 3 countries across 23 domains to perform 48 HTTP transactions. The main domain is kandugas.pages.dev and was registered 18 years ago.

Submitted URL: https://kandugas.pages.dev/post/nicola-cavanis-instagram/

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The page shows a personal image gallery, lacks credential forms or malicious indicators, and is low risk.

Safety Factors
No credential or payment collection
No brand impersonation
No malicious IoC or YARA hits
Content appears to be a personal photo gallery
Domain age information unavailable

Details

Page Title

Nicola Cavanis Instagram / #nicola cavanis #christmas #holiday #beautiful #beautiful women. - Dukang

Scan Type

public

Domain Name Analysis

Domain 'kandugas.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'kandugas'. The second-level label 'pages' is 5 characters long split between 2 vowels and three consonants. Word splitting yields 1 word: pages. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kandugas.pages.dev/post/nicola-cavanis-instagram/

Page Load Overview

22.65s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:6,644 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
42%
adult content
39%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.121.140Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
115.197.172.60Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
1104.18.37.127Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1172.67.213.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
154.243.117.197Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
1142.251.20.119Google · CDNUnited States
AS15169Google LLC
4829--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F31863F1C00C43B1A5383F5313AB75CF9C75A2EB242C860F5AE89AA1ED2ED1CD1604A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:JGer1NBm7ZTNpCXz8mPVjEntWr0m5FwUngQ:Jpr787YVMJ1uH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1674:AAAAiIAQBBAIAgBBCAAAAAAJAAAAAQAACAAAAAgBAgAAAAQAYAAAAQBAAAIgAAAABBAxAABAAAAAABABIQgABIUAghAAEAAB

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:9f87dbfbfbfbfbfb
Perceptual Hash:ed383286c7cdc4cc
Difference Hash:283cb6c2d2d2c2d2
Wavelet Hash:00077b7b7a7a7a60
Color Hash:#539dac

Other Hashes

Crop Resistant:283cb6c2d2d2c2d2

Scan History

Scan history not available

Unable to load historical scan data