Security Scan Report: pym.nprapps.org

Redirected to: https://blog.apps.npr.org/pym.js/

Submitted: Dec 3, 2025, 6:41:21 AMCompleted: Dec 3, 2025, 6:42:26 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is blog.apps.npr.org and was registered NaN years ago.

Submitted URL: https://pym.nprapps.org/

Effective URL: https://blog.apps.npr.org/pym.js/Redirected

The Cisco Umbrella rank of the primary domain is #82,795 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate, well‑established resource with no security concerns.

Safety Factors
Physical address visible
Hosted on standard web hosting, not IPFS or cloud storage
Open‑source project with official NPR branding
Domain age information unavailable

Details

Page Title

Pym.js: Embed iframes responsively

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

technology software

(37%)

Domain Information

The domain name 'pym.nprapps.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'pym'. The registrable portion 'nprapps' spans 7 characters containing one vowel alongside six consonants. Breaking it apart gives two words: npr, apps. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pym.nprapps.org/

Page Load Overview

0.89s
Total Load Time
34
HTTP Requests
6
Domains
429 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:19,001 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software37% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
37%
documentation technical
35%
news media journalism
33%
government public service
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24185.199.110.153United States
AS54113FASTLY
2142.250.186.131United States
AS15169GOOGLE
2216.58.206.74United States
AS15169GOOGLE
223.36.163.238Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1172.217.18.10United States
AS15169GOOGLE
1185.199.111.153United States
AS54113FASTLY
118.245.46.14United States
AS16509AMAZON-02
1185.199.109.153San Francisco, California, United States
AS54113FASTLY
1185.199.108.153United States
AS54113FASTLY
123.36.163.247Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3422--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144F2C72752E463726102964E977CB3A8BF3FC01FA39198E5B9ED434C5F4062699A33CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dxIZhck41F8tAD0YevMzfyJqWV6KddqezYTDL45ZabucnonHwyXadfiDEzO0aMH/:gFSGYeGfyJJVvqeMTDs5Z4X0Hw3YQzEE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34912:7ACA4ShxIngmVuIVAQggLhJZEgJAAKSgvywENgkSiQAhBUyC10kAMgA4UVAAEREgAQxYD0lZgvmAAsMQ4ETwS6zGKwIA0lwE

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:00000000ffffffff
Perceptual Hash:e26239994766969b
Difference Hash:2d918dad535925c1
Wavelet Hash:00000000ffffffff
Color Hash:#3a7778

Scan History

Scan history not available

Unable to load historical scan data