Security Scan Report: algorithmwatch.org

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Submitted: May 1, 2026, 3:48:58 PMCompleted: May 1, 2026, 3:50:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 31 HTTP transactions. The main domain is algorithmwatch.org and was registered NaN years ago.

Submitted URL: https://algorithmwatch.org/en/maybe-there-is-no-ai-bubble/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate news/blog page with no phishing, malware, or scam indicators.

Safety Factors
Established domain age (>10 years)
Self‑branding matches domain
No credential or payment collection
No malicious IoC or IDS alerts
No YARA malware detections
Domain age information unavailable

Details

Page Title

Maybe there is no AI bubble - AlgorithmWatch

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(40%)

Domain Information

The domain name 'algorithmwatch.org' uses the non-profit oriented generic top-level domain (.org). Its registrable label 'algorithmwatch' stretches across 14 characters containing four vowels alongside ten consonants. Breaking it apart gives two words: algorithm, watch. Median word length comes out to 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://algorithmwatch.org/en/maybe-there-is-no-ai-bubble/

Page Load Overview

1.80s
Total Load Time
28
HTTP Requests
2
Domains
538 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:5,412 chars
Detector Agreement:75%

Website Classification

Primary Category

news/blog40% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
40%

Detected Features

OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2889.238.73.60Germany
AS34240manitu GmbH
281--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B1A3F8734E4D10372A3AB5AB43CCB54C725AF285CAC65A04F2FD9C9CCB46F622597398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iUQKMsMDBBW4rsWypZSB5Q0iwDDCvUY/TE2FQ+kfzQdCmzgoL7ndDcOmHgJIcn6n:+sP7SB5HiljCHgJIc/JKvQ2ogrG0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:98331:GVYISQFECkTKGSqAACcIsxAoIlBLiQTKEeIAhaww8kAArBALAgaM0gBBIAKQxCA3iaCthEHgUDYkkoIAqRSIltJQSARMkEYk

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:ffffffc1c3c38383
Perceptual Hash:bcc194c76966c996
Difference Hash:a29c0f0707072f2f
Wavelet Hash:ffffcf8181818181
Color Hash:#536bac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data