Security Scan Report: allaboutcookies.org

Submitted: Nov 18, 2025, 7:39:46 PMCompleted: Nov 18, 2025, 7:43:45 PMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 4 domains to perform 9 HTTP transactions. The main domain is allaboutcookies.org and was registered NaN years ago.

Submitted URL: https://allaboutcookies.org/what-is-a-ddos-attack

The Cisco Umbrella rank of the primary domain is #633,104 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; access block likely due to scanning activity

Safety Factors
Well-established domain with minimal risk
No malicious Indicators of Compromise
No credential or payment collection forms
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

allaboutcookies.org

Scan Type

public

Language

🇧🇩

BN

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'allaboutcookies.org' is registered with no subdomain. The registrable portion 'allaboutcookies' spans 15 characters containing 8 vowels alongside seven consonants. Tokenizing the label suggests 3 words: all, about, cookies. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://allaboutcookies.org/what-is-a-ddos-attack

Page Load Overview

190.87s
Total Load Time
9
HTTP Requests
4
Domains
15 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:50%
Script Type:Unknown
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
913.32.99.128New York, New York, United States
AS16509AMAZON-02
0172.66.131.208United States
AS13335CLOUDFLARENET
018.66.147.75United States
AS16509AMAZON-02
018.66.147.90United States
AS16509AMAZON-02
013.32.99.78New York, New York, United States
AS16509AMAZON-02
03.78.137.248Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
0172.66.131.207United States
AS13335CLOUDFLARENET
02600:9000:2251:ec00:7:c516:5a80:93a1United States
AS16509AMAZON-02
013.32.99.43New York, New York, United States
AS16509AMAZON-02
02600:9000:2251:4200:7:c516:5a80:93a1United States
AS16509AMAZON-02
922--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1742174B5CE49823E6A211224F8F0F5EC16120944FAD18F05F5765A1CE78A6FB4C22CAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:n/dJHtV8doDblCZ5dNgr/6qZpWIp/l2RV3bJMTpWIkOO5zbRv5wts:n/rX8q05MOqrWIpd2fJuWIkOOD+q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1410:AAAEIIAAAAIAQgAAQgIAAAAAAQACAAAACAABAABAgAAAAAIAAAGAAAAABAAAAJAAAgAAAAAAAAAACEBAgQAEAIQAAAQAAAAA

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:ffe7ff0000cfffff
Perceptual Hash:b3c6cc3333cccc31
Difference Hash:0808001858180000
Wavelet Hash:0f07ff0000003f3f
Color Hash:#99c587

Other Hashes

Crop Resistant:0808001858180000

Scan History

Scan history not available

Unable to load historical scan data