Security Scan Report: illovo.co.za

Redirected to: https://www.illovosugarsa.co.za/

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Submitted: Jan 16, 2026, 12:58:43 PMCompleted: Jan 16, 2026, 1:00:16 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 22 HTTP transactions. The main domain is illovosugarsa.co.za and was registered NaN years ago.

Submitted URL: https://illovo.co.za

Effective URL: https://www.illovosugarsa.co.za/Redirected

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing site impersonating Illovo Sugar; do not provide any data.

Risk Factors
Brand impersonation on non‑official domain
Final URL domain does not match the claimed brand
Unranked domain with brand claim
Garbled OCR content suggesting a compromised or spoofed page
Domain age information unavailable

Details

Page Title

Illovo Sugar South Africa - Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'illovo.co.za' uses the South African country-code top-level domain (.co.za) with no subdomain. The second-level label 'illovo' is 6 characters long split between 3 vowels and three consonants. Word splitting yields two words: ill, ovo. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://illovo.co.za

Page Load Overview

4.33s
Total Load Time
38
HTTP Requests
11
Domains
2.9 MB
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-US
Text Length:4,792 chars
Detector Agreement:75%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11102.133.218.32Johannesburg, Gauteng, South Africa
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
9151.101.2.137South Africa
9142.250.185.136United States
AS15169GOOGLE
9151.101.65.229Unknown
384--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160E2B47A96F122371083809969705B05BA90D907CA1B9F857EED87C48FC7DC3CD27A6E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gSBhS/CSCJkrE/MwftkbKlnjbc/SMAB/e4bubh/V+HbDXPGj7pAkGyk:gChS6SCJkrEEwAGOARe2z7zM+ky

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31753:gyWIDgQhBsiHOwsiggQCYxT4AIAyEkXsJGkARUAAMgAxRA50gRwBA7Ag2iVgoKAUhBIcQsiAGQdbUB0IxgSgrxEUAKQJjMJo

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:ffc3c3c3c3c3c3c3
Perceptual Hash:bc96d393c3c3c22c
Difference Hash:3b2f272737170f17
Wavelet Hash:ff83838383c3c3c3
Color Hash:#878cc5

Scan History

Scan history not available

Unable to load historical scan data