Security Scan Report: sheg.stanford.edu

Redirected to: https://www.inquirygroup.org/

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Submitted: Jan 10, 2026, 12:29:20 AMCompleted: Jan 10, 2026, 12:31:09 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 7 domains to perform 1 HTTP transaction. The main domain is inquirygroup.org and was registered NaN years ago.

Submitted URL: https://sheg.stanford.edu

Effective URL: https://www.inquirygroup.org/Redirected

The Cisco Umbrella rank of the primary domain is #29,835 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with no security concerns.

Safety Factors
Well‑established domain with minimal risk
No credential‑harvesting or payment collection forms
Brand mentions (NYT, WSJ) are contextual, not impersonation
Standard redirect from a reputable institution (Stanford) to the organization’s own site
Domain age information unavailable

Details

Page Title

Digital Inquiry Group

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(50%)

Domain Information

Domain 'sheg.stanford.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'sheg'. Count 8 characters in 'stanford' with two vowels and six consonants. Tokenizing the label suggests one word: stanford. Median word length comes out to 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sheg.stanford.edu

Page Load Overview

18.86s
Total Load Time
59
HTTP Requests
15
Domains
2.8 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:6,068 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
50%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14216.239.32.36Germany
9142.251.140.174United States
AS15169GOOGLE
9216.58.206.72United States
AS15169GOOGLE
9184.24.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
9142.250.186.110United States
AS15169GOOGLE
954.88.225.116Ashburn, Virginia, United States
AS14618AMAZON-AES
596--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B193852090D05867C44346C17DA8FA66EB4BF907CFC30A90F3AD4E9B5FD6D968A1731A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ba5Rdp5RZHdnBGhnzfhnt5hnffhndqf1DjFV7/zJIHYJxs7:bgHWhnThnXhnXhne1Dv7JI4Jxs7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:88958:EAJggkTIu4QIAAEcAITcAQhi9IiBgxzYwCBIo4BwAwE8IGMKASgGYUwgRAhVSDgVhD3iLENwCGAFxABJwAcJkiQiOTAIuAMR

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:00003c3c3c3c0000
Perceptual Hash:cb9734ca384b9e94
Difference Hash:1761696969696196
Wavelet Hash:083c3c3c3c3cfdc3
Color Hash:#931f78

Scan History

Scan history not available

Unable to load historical scan data