Security Scan Report: forum.djangoproject.com

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Submitted: Sep 30, 2026, 12:16:36 AMCompleted: Sep 30, 2026, 12:17:17 AMpubliccompleted

This website contacted 13 IPs in 2 countries across 8 domains to perform 135 HTTP transactions. The main domain is forum.djangoproject.com and was registered 18 years ago.

Submitted URL: https://forum.djangoproject.com/t/discouraging-the-voice-from-nowhere-llms-in-documentation/44699

The Cisco Umbrella rank of the primary domain is #252,977 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Official Django project forum thread about documentation style. Established 21-year-old domain, self-branded, standard same-origin forum login, no forms of credential theft, no Indicators of Compromise, YARA or IDS hits.

Safety Factors (5)
Well-established 21-year-old domain (djangoproject.com)
Self-branding matches domain; no impersonation of another entity
Login form posts to its own origin (/login) and is standard forum software
Ranked 252,977 in Cisco Umbrella top 1M
All third-party scripts served from reputable CDNs (Google APIs, Discourse CDN)
Domain age information unavailable

Details

Page Title

Discouraging "the voice from nowhere" (~LLMs) in documentation - Django Internals / Documentation - Django Forum

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'forum.djangoproject.com' is registered, featuring subdomain 'forum'. The registrable portion 'djangoproject' spans 13 characters split between four vowels and 9 consonants. Tokenizing the label suggests two words: django, project. Expect 6.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://forum.djangoproject.com/t/discouraging-the-voice-from-nowhere-llms-in-documentation/44699

Page Load Overview

7.60s
Total Load Time
3.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:5,791 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical41% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
41%
technology software
25%
social_media
25%
corporate
25%
news/blog
20%

Detected Features

Login Form
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
15184.105.99.75Seattle, Washington, United States
AS394230Civilized Discourse Construction Kit, Inc.
1018.172.112.50Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1018.245.46.47Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
10142.251.127.95Google · CDNUnited States
AS15169Google LLC
10142.251.110.95Google · CDNUnited States
AS15169Google LLC
10142.251.14.94Google · CDNUnited States
AS15169Google LLC
10185.172.148.132Germany
AS44239proinity GmbH
1018.172.112.4Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1018.172.112.23Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1018.172.112.113Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13513--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194C4FA2CE22CD57D844387AA8A797D78251D80DF91805D79F5FCCE6013A20FAEB6B9C1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:1S+7bB1d3ogmMZJZLZWZTZqZ+ZOZPDPtZg/vUyhT0:1S+7bB1d3ogmMZJZLZWZTZqZ+ZOZPDPP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:545251:EUGjnYAIEwEzwggEn0mAggcZUzj9QiJBwBBEMBMAIESQIZWYLI4KBhIgG2joRFs2HQAMQAwwICKCRjIB0SYCZAQViC4RAAUM

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:00ffcfffcfcfcfc7
Perceptual Hash:b04f7e534e435233
Difference Hash:353c1c3c1e1c1c0c
Wavelet Hash:0083c7c7c7c7c787
Color Hash:#84862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data