Security Scan Report: next.kiambu.go.ke

Site favicon
Submitted: Feb 11, 2026, 1:04:47 PMCompleted: Feb 11, 2026, 1:06:19 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is next.kiambu.go.ke and was registered NaN years ago.

Submitted URL: https://next.kiambu.go.ke/civic-updates/chloe-kim-cheers-on-boyfriend-myles-garrett-at-browns-camp-1764805570

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Well‑established domain (>12 years old)
Government TLD (.go.ke) indicating official use
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns found
Domain age information unavailable

Details

Page Title

next.kiambu.go.ke

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(76%)

Domain Information

Domain 'next.kiambu.go.ke' uses the Kenyan country-code top-level domain (.go.ke), featuring subdomain 'next'. Its registrable label 'kiambu' stretches across 6 characters split between three vowels and three consonants. Word splitting yields three words: k, iamb, u. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://next.kiambu.go.ke/civic-updates/chloe-kim-cheers-on-boyfriend-myles-garrett-at-browns-camp-1764805570

Page Load Overview

8.08s
Total Load Time
1
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:747 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software76% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
76%
documentation technical
52%
adult content
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1206.189.61.243Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D7048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8Old2:EhoC9JSqzzbs6o3Sj3gcrsg2eAo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184725:RkQ0QZGIgBUEMpnaFUBFNIKQAuQBFAAAFvmCGMWC4IlgTAiGYBDWCDOMAhUFcJGzhCYGJBsAkC2IYoagUEBvAGQmtCqAimgE

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:ffcfc3c3ffffffff
Perceptual Hash:b331cccccc666627
Difference Hash:00180c1400000000
Wavelet Hash:3f1f03030f0f0f0f
Color Hash:#8b87c5

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data