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Security Scan Report: www.norc.org

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Submitted: Nov 14, 2025, 10:29:43 PMCompleted: Nov 14, 2025, 10:30:20 PMpubliccompleted
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Summary

This website contacted 50 IPs in 4 countries across 10 domains to perform 68 HTTP transactions. The main domain is norc.org and was registered NaN years ago.

Submitted URL: https://www.norc.org/about/experts/jennifer-welch.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Domain age > 25 years (well‑established)
No malicious Indicators of Compromise matches found
Standard hosting with no IPFS or cloud‑storage red flags
No password, email, or payment fields on the page
Cisco Umbrella unranked status mitigated by long domain history
Domain age information unavailable

Details

Page Title

Jennifer Welch | NORC at the University of Chicago

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

The domain 'www.norc.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The second-level label 'norc' is 4 characters long with one vowel and three consonants. Breaking it apart gives two words: nor, c. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.norc.org/about/experts/jennifer-welch.html

Page Load Overview

5.30s
Total Load Time
68
HTTP Requests
10
Domains
1.7 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:7,880 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
71%
corporate
35%
news media journalism
28%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1918.245.31.35United States
AS16509AMAZON-02
1184.24.77.15Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.102.19.22Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.250.185.106United States
AS15169GOOGLE
123.35.236.237Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1184.24.77.61Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1184.24.77.30Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
163.140.62.200United States
AS16509AMAZON-02
12.23.154.146Vienna, Vienna, Austria
AS20940Akamai International B.V.
1142.250.186.67United States
AS15169GOOGLE
6850--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A9C34220A0F5797212EF70A6A5A82B17BD87DF17D6D23FF131DE92491F91E869C23108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GPXVf3Xp7bc9UZQPCzFzJjgwMB9/9UviZN9nsQ:uiN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124200:SrEAgiAOTapJFxUBMBgSDHByQEPREAEAJ9KEhJJAhmgBxqixDAg6yAACRIRMCAAK1YgJWCoCGJRzQRRJHhhUgBwqAyhwBAhi

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:ff00000000fbffff
Perceptual Hash:b416e9e99692c936
Difference Hash:6b2ccccc14d3183a
Wavelet Hash:ff00000000ffffff
Color Hash:#8ebf40

Other Hashes

Crop Resistant:6b2ccccc14d3183a,40a0d8e0e0f4fa7c,e0323392f0c0c8f8,4c2ccccc9c8c3413

Scan History

Scan history not available

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