Security Scan Report: ankama.com

Redirected to:
https://www.ankama.com/
Bot Protection Detected

This website is protected by AWS WAF bot protection. Because of this, some results on this page may be inaccurate or missing.

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 3 domains to perform 24 HTTP transactions. The main domain is ankama.com and was registered 25 years ago.

Submitted URL: https://ankama.com

Effective URL:
https://www.ankama.com/
Redirected

The Cisco Umbrella rank of the primary domain is #390,200 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Ankama.com (25-year-old domain) is serving an AWS WAF challenge-failure notice. No forms, no threat-intel, hunting rule or IDS hits, no impersonation. Legitimate, safe to use.

Safety Factors (5)
25-year-old established domain with stable ownership
No credential or payment forms present anywhere on the page
No Indicators of Compromise, malware, obfuscated JS, or network IDS alerts
Content is a standard AWS WAF bot-challenge interstitial, a normal security control on large sites
No brand impersonation — the page does not present itself as any other organisation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 'ankama.com' uses the commercial generic top-level domain (.com). Its registrable label 'ankama' stretches across 6 characters containing 3 vowels alongside three consonants. Word splitting yields 2 words: an, kama. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Max challenge attempts exceeded. Please refresh the page to try again!

Page Load Overview

0.39s
Total Load Time
1.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:236 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software52% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
52%
documentation technical
43%
adult content
35%
healthcare medical
31%
news media journalism
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
818.64.211.94Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.64.211.11Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2108.138.26.40Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.52Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.64.211.23Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.31Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
265.8.131.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
218.64.211.13Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
249--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19551C78B2AF1800611735D178A2296296A42D32B025CE9767EBCD4646F8DBA58B433E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nmJ223oniB6Y+j25tDLFMghjYcEVqrAHpN2k+iw4u74fWzYdpoj:nmJGnkTu2j1FYcSj2kIUfpvoj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2586:ORECACAAGAAAKQAJIbACAgAAAAAAAREiBAYAQAEIAAAAAoUQIAAAEAAACAAABBABAVAgCAEAiFYiBAAAACAAIBAAEABgAQAA

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:0fffffffffffffff
Perceptual Hash:991d1d1d1d1d1d1d
Difference Hash:3000000000000000
Wavelet Hash:00f0f0f0f0f0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:3000000000000000

Scan History

Scan history not available

Unable to load historical scan data