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Security Scan Report: gydyk.lt

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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/8d963004-83a6-42a0-aace-36bd3969c5eeDomain and IP registration (RDAP)/api/v1/rdap/8d963004-83a6-42a0-aace-36bd3969c5eeHow often this domain was scanned/api/v1/domain/stats/gydyk.ltScan history for this domain/api/v1/domain/history/gydyk.lt?limit=15
This website contacted 99 IPs in 9 countries across 47 domains to perform 358 HTTP transactions. The main domain is gydyk.lt and was registered 11 months ago.

Submitted URL: https://gydyk.lt/patarimai/kiek-laiko-galima-vartoti-spirulina/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Lithuanian health article on spirulina with self-branding, no credential/payment forms, no threat-intel or YARA hits. Informational IDS alerts are not corroborated.

Safety Factors (5)
Domain is approximately 342 days old
Physical address visible
Self-branding matches domain, no impersonation of another entity
Content is an informational health article
No credential harvesting or payment collection
Domain age information unavailable

Details

Page Title

Kiek laiko galima vartoti spiruliną? - Gydyk.lt

Scan Type

public

Domain Name Analysis

Domain 'gydyk.lt' uses the Lithuanian country-code top-level domain (.lt). Its registrable label 'gydyk' stretches across 5 characters with zero vowels and 5 consonants. Segmentation suggests two words: gy, dyk. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://gydyk.lt/patarimai/kiek-laiko-galima-vartoti-spirulina/

Page Load Overview

0.37s
Total Load Time
7.3 MB
Total Size

Language Analysis

Primary Language

🇱🇹LT
Code: lt
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

HTML Lang Attribute:lt-LT
Text Length:9,967 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical55% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
55%
news/blog
50%
adult content
44%
government public service
43%
corporate
35%

Detected Features

Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6492.113.16.17Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
392.113.23.222Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
3142.250.154.97Google · CDNUnited States
AS15169Google LLC
3172.67.70.36Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.5.6Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3151.101.65.229Fastly · CDNUnited States
AS54113Fastly, Inc.
3142.251.20.157Google · CDNUnited States
AS15169Google LLC
3104.18.30.49Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35899--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T156C1E7EDF982B0BC632319E198AF7199721AEE06AA0DC054F551D5D07CA4F89C237F1C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Tm4m3L2sfbu1JViZvyDTAgi+49F59vsd+OtJudcMX0+N:6BPzu1owTq+OF5adD2dDX0w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5783:QICICAGAYAgAQEBxICAoCKAiRA0SFVAAgGCTCYAIgEAIJABDA50gVRAgAOEDIEYaQIoQAhEJpIAAERRQgEEQAMEA+EAAQAkI

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:ffffffe7c3ffffff
Perceptual Hash:b38ccc3333cccc33
Difference Hash:0000000c0c000000
Wavelet Hash:3c3c3c24033f0f0f
Color Hash:#9f53ac

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data