Security Scan Report: pypi.org

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Submitted: Nov 26, 2025, 6:30:24 PMCompleted: Nov 26, 2025, 6:32:02 PMpubliccompleted
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Summary

This website contacted 26 IPs in 2 countries across 8 domains to perform 30 HTTP transactions. The main domain is pypi.org and was registered NaN years ago.

Submitted URL: https://pypi.org/

The Cisco Umbrella rank of the primary domain is #23,736 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is legitimate with no security concerns detected.

Safety Factors
Well‑established domain (over 10 years old)
Cisco Umbrella ranking within top 100 k
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content matches official PyPI branding
Domain age information unavailable

Details

Page Title

PyPI · The Python Package Index

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain name 'pypi.org' uses the non-profit oriented generic top-level domain (.org) with no subdomain. Count 4 characters in 'pypi' containing 1 vowel alongside three consonants. Segmentation suggests 2 words: py, pi. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pypi.org/

Page Load Overview

0.34s
Total Load Time
30
HTTP Requests
8
Domains
630 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:1,942 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
56%
government public service
31%
cryptocurrency blockchain
30%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12151.101.192.223San Francisco, California, United States
AS54113FASTLY
8146.75.122.79Frankfurt am Main, Hesse, Germany
AS54113FASTLY
4142.250.185.131United States
AS15169GOOGLE
2151.101.0.223San Francisco, California, United States
AS54113FASTLY
1108.138.7.72United States
AS16509AMAZON-02
1151.101.64.223San Francisco, California, United States
AS54113FASTLY
1172.67.71.230United States
AS13335CLOUDFLARENET
1151.101.128.223San Francisco, California, United States
AS54113FASTLY
1146.75.122.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
1108.138.7.61United States
AS16509AMAZON-02
3026--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFD27530A6F784B20752E689851E396E9F63B103DA4E7545F1AD02ACEFDBD86702334D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SdL6DpwpialaS2zR+Smu1h1Wq2OwR3dKV3c0V:S6wDlaSuR+Smu1h1WmGcVM0V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30784:ABDyhAqQHJyyUgNpogCSXE6OAFBBAwwEJiAABEJiEMA0A+YikAr9FCACwAVyI66mYAaygBTgRgQgVAkdMDgw9YQH0kQFJriE

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:ffff000000007e00
Perceptual Hash:82ffd5812fd06ac8
Difference Hash:0f4d310569f9b431
Wavelet Hash:ffff81013d017f00
Color Hash:#ac5378

Scan History

Scan history not available

Unable to load historical scan data