Summary
This website contacted 42 IPs in 4 countries across 12 domains to perform 36 HTTP transactions. The main domain is poverty.umich.edu and was registered NaN years ago.
Submitted URL: https://poverty.umich.edu/stimulus-checks/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate university page providing information on stimulus payments.
Safety Factors
Details
Page Title
poverty.umich.edu
Scan Type
public
Language
English
Category
education
(45%)Domain Information
Domain 'poverty.umich.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'poverty'. The registrable portion 'umich' spans 5 characters with two vowels and three consonants. Tokenizing the label suggests 1 word: umich. 'mich' most strongly signals German. It also appears in Chinese (Pinyin) and Chinese (Zhuyin) contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 14 | 141.211.243.223 | Ann Arbor, Michigan, United States | AS36375UMICH-AS-5 |
| 4 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 108.174.10.20 | United States | AS14413LINKEDIN |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 2 | 142.250.181.238 | United States | AS15169GOOGLE |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 142.250.186.136 | United States | AS15169GOOGLE |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 2.17.113.35 | Manchester, England, United Kingdom | AS20940Akamai International B.V. |
| 36 | 42 | - | - |
Detected Technologies11
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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