Security Scan Report: docs.python.org

Submitted: Jan 21, 2026, 10:59:11 AMCompleted: Jan 21, 2026, 11:00:20 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 23 HTTP transactions. The main domain is docs.python.org and was registered NaN years ago.

Submitted URL: https://docs.python.org/3/tutorial/controlflow.html

The Cisco Umbrella rank of the primary domain is #14,592 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Python documentation site with no security concerns.

Safety Factors
Well‑established domain with long registration history
Official brand domain for Python
HTTPS connection
No suspicious forms or content
Domain age information unavailable

Details

Page Title

4. More Control Flow Tools — Python 3.14.2 documentation

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(64%)

Domain Information

The domain 'docs.python.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'docs'. Its registrable label 'python' stretches across 6 characters with one vowel and five consonants. Splitting it apart reveals 1 word: python. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://docs.python.org/3/tutorial/controlflow.html

Page Load Overview

1.17s
Total Load Time
23
HTTP Requests
2
Domains
49 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:39,372 chars
Detector Agreement:80%

Website Classification

Primary Category

documentation technical64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
64%
technology software
63%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.0.223United States
AS54113FASTLY
11151.101.128.223United States
AS54113FASTLY
232--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10AE340E1A6F79573013B80C792EF0B66B1E5446AE0960444F3FD83B84BDDC98791BD2A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bk/pkfcaYxWOG6rgCM6kLJyuLi+F9NEu8a8boCUFbtQ3goDEgyJN7xb5YKBEPpIS:o/pgdYxWOG6rgCM6kLJyei+F9NEu8a83

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148235:yiCwBAoQBKiEwJEYAAASxqp8APGABcEIOCExUEAHCQiGeI4cQCKIGJ2SPYjB+00QdluKQEEEcJFFIAkQIQhQC4FiMwIAIIxU

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:1f1f1f1f070f070f
Perceptual Hash:90c1f870cf79d872
Difference Hash:b8fcfcececbc2c3c
Wavelet Hash:1f1f0f1f070f0707
Color Hash:#d22db1

Other Hashes

Crop Resistant:b8fcfcececbc2c3c

Scan History

Scan history not available

Unable to load historical scan data