Security Scan Report: engsil.cc

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

Submitted: Jan 24, 2026, 2:03:10 AMCompleted: Jan 24, 2026, 2:03:54 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is engen.co.za and was registered NaN years ago.

Submitted URL: https://engsil.cc/

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>28 years old)
Brand alignment between final URL and content
Absence of login or payment forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Error 524 - A timeout occurred

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(72%)

Domain Information

Within the .cc country-code top-level domain, 'engsil.cc' is registered. Its registrable label 'engsil' stretches across 6 characters with two vowels and four consonants. Segmentation suggests 2 words: eng, sil. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://engsil.cc/

Page Load Overview

2.08s
Total Load Time
8
HTTP Requests
2
Domains
0 KB
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:4,788 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
72%
adult content
32%
entertainment media
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.160.246.235Singapore, Singapore
AS132203Tencent Building, Kejizhongyi Avenue
81--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D351230B63E6411EBCC5A42C2FE3154536E8D843E12AD2E83F9D6208CF8D9E0DE5974D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T4zUnCGEDaaH9hRJ67+UfFyclV3VYdLh1ku4vL2prMvMqaB:T4DGoBJ6iQFyYFYP1pmKKMqaB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3039:AAQAAFSAAAYGhIADCjABTIAAAAACAAATEEECIAAIDMAAEgAAAAYIgAIAoRABABgDAAGCAAQClAEIBADgQCEETAABAxxRAAgA

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:201c0c3c00000000
Perceptual Hash:9a986c6767633139
Difference Hash:6031996920000000
Wavelet Hash:3c3c0c3c03033333
Color Hash:#e06ca6

Other Hashes

Crop Resistant:6031996920000000

Scan History

Scan history not available

Unable to load historical scan data