Security Scan Report: meteolabs.kz

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Submitted: Completed: publiccompleted
This website contacted 26 IPs in 3 countries across 10 domains to perform 89 HTTP transactions. The main domain is meteolabs.kz.

Submitted URL: https://meteolabs.kz/%D0%BF%D0%BE%D0%B3%D0%BE%D0%B4%D0%B0_%D1%81%D0%B8%D0%BC%D1%84%D0%B5%D1%80%D0%BE%D0%BF%D0%BE%D0%BB%D1%8C/%D0%B7%D0%B0%D0%B2%D1%82%D1%80%D0%B0/

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Ordinary weather-forecast site with self-branding, no forms, no credentials and no threat-intel, YARA or IDS hits; only caveats are unverified domain reputation and heavy ad-tech scripts.

Risk Factors (2)
Domain not present in Cisco Umbrella top 1M and no published registration date, so reputation cannot be verified
Includes third-party ad-tech domain cdn.tds.bid, a traffic-monetization host not independently verified
Safety Factors (5)
Self-branding: title/meta ('Погода в Симферополе завтра') matches the site's own weather-content purpose, no impersonation of another brand
No forms, no login, no payment capture, no download prompts on the page
No Indicators of Compromise, no JavaScript malware, no network IDS alerts
Content is ordinary weather forecast information with a standard GDPR/TCF consent dialog
Business legitimacy indicators found (physical address, business entity mention)
Domain age information unavailable

Details

Page Title

Погода в Симферополе завтра - Симферополь подробный прогноз погоды на завтра по часам

Scan Type

public

Domain Name Analysis

You're looking at domain 'meteolabs.kz' on the Kazakh country-code top-level domain (.kz). Count 9 characters in 'meteolabs' split between four vowels and five consonants. Segmentation suggests 3 words: me, teo, labs. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://meteolabs.kz/%D0%BF%D0%BE%D0%B3%D0%BE%D0%B4%D0%B0_%D1%81%D0%B8%D0%BC%D1%84%D0%B5%D1%80%D0%BE%D0%BF%D0%BE%D0%BB%D1%8C/%D0%B7%D0%B0%D0%B2%D1%82%D1%80%D0%B0/

Page Load Overview

4.15s
Total Load Time
2.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:ru-KZ
Text Length:66,339 chars
Detector Agreement:50%

Website Classification

Primary Category

healthcare medical68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
68%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14104.21.51.69Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.176.239Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
35.255.255.77Yandex · CLOUDMoscow, Moscow, Russia
AS13238YANDEX LLC
394.131.81.186Kazakhstan
AS208795Cloud Services Kazakhstan LLP
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
337.9.64.225Yandex · CLOUDRussia
AS13238YANDEX LLC
387.250.251.119Yandex · CLOUDRussia
AS13238YANDEX LLC
3142.251.127.101Google · CDNUnited States
AS15169Google LLC
3216.239.32.36Google · CDNUnited States
AS15169Google LLC
387.250.250.119Yandex · CLOUDRussia
AS13238YANDEX LLC
8926--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FD553F1BF4E21A37D3AA85E09267773C7B78C91E9FC10C704983277E478ADE6560918E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:r7olDcpZNwY804zAYR0JzFYc0szzeDODcpZN8YI0AzKYN0BzCYZ0JzzeUDcpZNAm:Hov+CH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1372759:DOykETTkCIjDocAEGiAMAZCgBprCCQ6gtSASGYQEGG0jww8oAGnwGKyEDwiZkBIIJJwJeALURQCYQSNqyBEwlEOBLTQQGAFg

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:00ffe7e7ffe7ef67
Perceptual Hash:b15b19595d1d5919
Difference Hash:b20816169616d6d6
Wavelet Hash:00e7e7c3e7c34343
Color Hash:#8479d2

Scan History

Scan history not available

Unable to load historical scan data