Security Scan Report: dev.gutenberg.org

Submitted: Mar 17, 2026, 11:18:11 AMCompleted: Mar 17, 2026, 11:19:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is dev.gutenberg.org and was registered NaN years ago.

Submitted URL: https://dev.gutenberg.org

The Cisco Umbrella rank of the primary domain is #67,865 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Project Gutenberg site with no security concerns.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No credential or payment collection
Accurate brand meta tags
High Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Free eBooks | Project Gutenberg

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(36%)

Domain Information

Domain 'dev.gutenberg.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'dev'. Its registrable label 'gutenberg' stretches across 9 characters containing three vowels alongside six consonants. Word splitting yields one word: gutenberg. Median word length comes out to 9 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dev.gutenberg.org

Page Load Overview

6.77s
Total Load Time
34
HTTP Requests
1
Domains
406 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:4,260 chars
Detector Agreement:75%

Website Classification

Primary Category

healthcare medical36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
36%
download file sharing
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34152.19.134.47Carrboro, North Carolina, United States
AS36850University of North Carolina at Chapel Hill
341--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15BC2A53565F4543742928350AEBA6F1ABFC2A643D50E19007EFC4B8A5F92DA3DD2331E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UlYjw+anN+oEV9ZiUYc7pLVTVhla/xczo0JZRy99Bo2XMrfW5PDVVSrFndBFB/m8:Ulow+aNkV90zbczo0JZRtGHSpnlowX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27430:ihDDEBlKG8FDCitEYAwI4DgQwAimMcRgpyRAF6ApoUgcgwQCBkIEYKmCbEIAGA6JShAhjI0YBoYgxiFyLHYAlzASickQwMBR

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:00ffff31118fffb7
Perceptual Hash:ef5594696d54164c
Difference Hash:325e7843435b6567
Wavelet Hash:00ffbf010181ffb3
Color Hash:#2d96d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data