Security Scan Report: itif.org

Submitted: Nov 20, 2025, 6:27:30 AMCompleted: Nov 20, 2025, 6:30:19 AMpubliccompleted
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Summary

This website contacted 27 IPs in 2 countries across 7 domains to perform 70 HTTP transactions. The main domain is itif.org and was registered NaN years ago.

Submitted URL: https://itif.org/publications/2025/11/14/usg-investment-in-industrial-research-low-compared-to-oecd-peers/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Standard informational content only
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

USG Investment in Industrial Research Low Compared to OECD Peers | ITIF

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(52%)

Domain Information

You're looking at domain 'itif.org' on the non-profit oriented generic top-level domain (.org) while skipping any subdomain. Count 4 characters in 'itif' split between 2 vowels and 2 consonants. Segmentation suggests 2 words: it, if. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://itif.org/publications/2025/11/14/usg-investment-in-industrial-research-low-compared-to-oecd-peers/

Page Load Overview

0.64s
Total Load Time
70
HTTP Requests
7
Domains
1.2 MB
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:3,637 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical52% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
52%
corporate
35%
government public service
34%
news/blog
20%
news
15%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57172.67.73.138United States
AS13335CLOUDFLARENET
4216.58.206.72United States
AS15169GOOGLE
2104.26.6.186United States
AS13335CLOUDFLARENET
234.149.250.58Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
2104.26.7.186United States
AS13335CLOUDFLARENET
2216.239.34.36United States
AS15169GOOGLE
2104.17.111.223United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
252.219.229.156Columbus, Ohio, United States
AS16509AMAZON-02
22001:4860:4802:34::36United States
AS15169GOOGLE
7027--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T192245BB243D889F5676F13F5D4B71ACE3251107BF6C4288C51AEFD846287EE42B2A44B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:keQXsn5AgzOG5XLJcdwxKZFAmb1sL9rd+z0RYMxbGXa9pT6YQXA7uw0W6BeE/J9Q:keQbSxbGXarD6BeE/J9eb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:215877:wsxQMItERCBZEAQBaAEhghN0BIN2iAyIAoaoS0ghBTMUosiAAw6CRggQ2AQiyBJEEEGgLxBrc4WYoWBWwQhysiEIQtAFQIQn

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:c3c3c3dfffffc7cf
Perceptual Hash:b16d31ce99968993
Difference Hash:1b060e361e261d9a
Wavelet Hash:8381c3c3c3c3c7cf
Color Hash:#2dd298

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data