Security Scan Report: pym.nprapps.org

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

Submitted: Jan 2, 2026, 10:45:30 AMCompleted: Jan 2, 2026, 10:47:17 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 6 domains to perform 46 HTTP transactions. The main domain is blog.apps.npr.org and was registered NaN years ago.

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

Effective URL: http://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
Established domain with decades of history
High Cisco Umbrella ranking indicating reputable site
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
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

Domain 'pym.nprapps.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'pym'. The registrable portion 'nprapps' spans 7 characters with 1 vowel and six consonants. It segments into two words: npr, apps. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

38.84s
Total Load Time
34
HTTP Requests
6
Domains
394 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
6185.199.109.153United States
AS54113FASTLY
418.245.46.90United States
AS16509AMAZON-02
423.36.163.247Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4172.217.23.106United States
AS15169GOOGLE
4185.199.111.153United States
AS54113FASTLY
423.36.163.238Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.250.186.138United States
AS15169GOOGLE
4142.250.186.131United States
AS15169GOOGLE
348--

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:0000ffffffffffff
Perceptual Hash:aa4e4e6e31b1b1b1
Difference Hash:69619d9f9f9d979d
Wavelet Hash:000000c7efefcfef
Color Hash:#c579d2

Scan History

Scan history not available

Unable to load historical scan data