Security Scan Report: hackaday.com

Submitted: Apr 2, 2026, 4:57:02 PMCompleted: Apr 2, 2026, 4:58:34 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 119 HTTP transactions. The main domain is hackaday.com and was registered NaN years ago.

Submitted URL: https://hackaday.com

The Cisco Umbrella rank of the primary domain is #5,220 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Established domain (>20 years)
Top 10k ranking indicates reputable site
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Only newsletter/email forms to legitimate service
Domain age information unavailable

Details

Page Title

Hackaday | Fresh Hacks Every Day

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

The domain name 'hackaday.com' uses the commercial generic top-level domain (.com) and has no subdomain. The core label 'hackaday' covers 8 characters split between 3 vowels and five consonants. Tokenizing the label suggests three words: hack, a, day. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hackaday.com

Page Load Overview

4.46s
Total Load Time
114
HTTP Requests
19
Domains
7.8 MB
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-US
Text Length:9,068 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
78%
technology software
73%
adult content
34%
entertainment media
28%
phishing scam
26%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15142.251.110.97United States
AS15169Google LLC
9192.0.66.96San Francisco, California, United States
AS2635Automattic, Inc
9104.18.15.126United States
AS13335Cloudflare, Inc.
93.232.49.81Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
954.85.177.147Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
9192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
934.149.254.14Kansas City, Missouri, United States
AS396982Google LLC
934.102.170.124Kansas City, Missouri, United States
AS396982Google LLC
9192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
9184.24.77.136GermanyUnknown
11412--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D5B3E87151D95877864B9BC4E0A8B61CA6EF7B07CCC4359EB0FE07A44F92DA2942327C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:NjPzmfypMbxLhDF0tjtamfHU080CcoySzABevdkDB:NjPzmqULhDF0tjtnfwyScBeFkDB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:110003:kpZw+gycATghABEFRMgH2iQBANCegEBFRQQgp4AFKgQgwChgPJ0JhIwQM4IDWhUguYZZELS4ASIkxUwAGABQAgAASoiUrqZo

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:3c38780820382074
Perceptual Hash:cb99c23e3039c763
Difference Hash:f1c1c3d3c1e3d9c5
Wavelet Hash:7c7879292139217f
Color Hash:#56d22d

Scan History

Scan history not available

Unable to load historical scan data