Security Scan Report: stpp.fordschool.umich.edu

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

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Submitted: Sep 28, 2026, 8:45:38 PMCompleted: Sep 28, 2026, 8:46:14 PMpubliccompleted

This website contacted 18 IPs in 2 countries across 2 domains to perform 11 HTTP transactions. The main domain is stpp.fordschool.umich.edu and was registered 17 years ago.

Submitted URL: https://stpp.fordschool.umich.edu/tap-case-study-library/peculiar-data-center

The Cisco Umbrella rank of the primary domain is #37,002 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate University of Michigan academic page hosting a data-center case study. Established 41-year-old .edu domain, no forms beyond site search, no threat-intel or malware signals.

Safety Factors (4)
Established .edu domain (41 years old) with physical address and phone number (University of Michigan, Ann Arbor)
Legitimate academic/institutional content with citations and references
Third-party scripts are all legitimate top-ranked analytics/ad hosts (Google Analytics, DoubleClick, LinkedIn ads, Facebook)
No credential, payment, or disguised fields anywhere on the page
Domain age information unavailable

Details

Page Title

Peculiar Data Center | Science, Technology and Public Policy (STPP)secondary capture

Scan Type

public

Domain Name Analysis

Domain 'stpp.fordschool.umich.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'stpp.fordschool'. The registrable portion 'umich' spans 5 characters with 2 vowels and 3 consonants. Segmentation suggests one word: umich. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://stpp.fordschool.umich.edu/tap-case-study-library/peculiar-data-center

Page Load Overview

2.45s
Total Load Time
940 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:404 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software77% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
77%
education
45%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11162.159.140.37Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.14.97Google · CDNUnited States
AS15169Google LLC
0142.251.110.95Google · CDNUnited States
AS15169Google LLC
0172.66.171.172Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0192.178.183.139Google · CDNUnited States
AS15169Google LLC
023.194.190.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
0142.251.152.119Google · CDNUnited States
AS15169Google LLC
0142.251.20.148Google · CDNUnited States
AS15169Google LLC
0216.239.32.36Google · CDNUnited States
AS15169Google LLC
1118--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12604712151F43422C2639AF2314A2B36F8924197E24D0C85B5EC67548FE6F369FBB71E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:PHDo++uI2/nTto8YacaKWlHjsTEhs6pBqVwHz5B1oqRxGtwhQ8EptTtuDTCCwblR:Lzxh36WsdmPPNm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187783:JICGLSYEEuBIJoFJQDBJCLQVAEgQHAyNX8LcHAGGRgkLJGCFDKJXUFCFQQgBAw2IggRxC2KME4BEBxtBCASAgU4KUYhwoDBo

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:9f0000ffffffffff
Perceptual Hash:a30c2fbdbc3c6660
Difference Hash:6761cd71105f594f
Wavelet Hash:00000000ffffffff
Color Hash:#b9e06c

Scan History

Scan history not available

Unable to load historical scan data