Security Scan Report: dw.angonet.org

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Submitted: Dec 14, 2025, 7:14:47 AMCompleted: Dec 14, 2025, 7:15:25 AMpubliccompleted
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Summary

This website contacted 10 IPs in 4 countries across 5 domains to perform 56 HTTP transactions. The main domain is dw.angonet.org and was registered NaN years ago.

Submitted URL: https://dw.angonet.org/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established domain age
No credential collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

DW Angola – Development Workshop Angola

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

The domain name 'dw.angonet.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'dw'. Count 7 characters in 'angonet' holding 3 vowels versus 4 consonants. Word splitting yields 3 words: an, gone, t. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dw.angonet.org/

Page Load Overview

12.26s
Total Load Time
56
HTTP Requests
5
Domains
543 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-CA
Text Length:2,578 chars
Detector Agreement:60%

Website Classification

Primary Category

government public service82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
82%
forum community discussion
79%
adult content
52%
blog personal website
43%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.105.4.70Toronto, Ontario, Canada
AS63949Akamai Connected Cloud
5157.240.205.11Helsinki, Uusimaa, Finland
AS32934FACEBOOK
5142.251.38.74United States
AS15169GOOGLE
5104.193.174.145Canada
AS54643IDIGITAL
5104.18.0.22United States
AS13335CLOUDFLARENET
52606:4700::6812:116United States
AS13335CLOUDFLARENET
52a03:2880:f013:d:face:b00c:0:3Helsinki, Uusimaa, Finland
AS32934FACEBOOK
5104.18.1.22United States
AS13335CLOUDFLARENET
52606:4700::6812:16United States
AS13335CLOUDFLARENET
52a00:1450:4026:800::200aIreland
AS15169GOOGLE
5610--

Detected Technologies4

JQueryv3.7.1
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169934BB2D124087D538B93A4DE5C6B11F1A6D10ADF425BE4F2F4C0A8A3C5CEA25B774E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Y1osapBuGF6ZqiYshNFBabw4XN9DEXovEiGiw63aCw3aCctS+:Y1CfuAMlkhEXovEiGiwF+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:91778:gAtSgEAIKEFI5QQDMBBQtTk+I0A3hyPyQAYEiAUk1xgCgcESUUMbRgI6DRAHgNGFBshOYRIQ8QQXpACDEHGElAsJFGAggAob

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:bf00878787ffffff
Perceptual Hash:ba34c9c1b2b8b4b6
Difference Hash:733b3c1f1d2b1b2b
Wavelet Hash:0000878787dfdbfb
Color Hash:#53ac72

Scan History

Scan history not available

Unable to load historical scan data