Summary
This website contacted 71 IPs in 2 countries across 20 domains to perform 90 HTTP transactions. The main domain is cityofredlands.org and was registered NaN years ago.
Submitted URL: https://www.cityofredlands.org/
AI Security Verdict
High Risk
Confidence: 92%
Phishing page impersonating Google on a legitimate municipal domain; high risk.
Risk Factors
Details
Page Title
City of Redlands
Scan Type
public
Language
English
Category
news/blog
(40%)Domain Information
The domain 'www.cityofredlands.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'cityofredlands' stretches across 14 characters holding 4 vowels versus ten consonants. Word splitting yields 3 words: city, of, redlands. Median word length comes out to 4 characters. 'city' is most common in Chinese (Pinyin) usage. You will also see it in English and Dutch 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 |
|---|---|---|---|
| 20 | 142.250.185.131 | United States | AS15169GOOGLE |
| 1 | 172.217.18.10 | United States | AS15169GOOGLE |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.154 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 54.82.17.135 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 104.18.15.80 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.181.238 | United States | AS15169GOOGLE |
| 1 | 107.20.175.248 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 23.23.101.133 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 216.58.206.40 | United States | AS15169GOOGLE |
| 90 | 71 | - | - |
Detected Technologies13
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
Scan history not available
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