Summary
This website contacted 4 IPs in 1 country across 1 domain to perform 31 HTTP transactions. The main domain is erha-nm.gov and was registered NaN years ago.
Submitted URL: https://erha-nm.gov/maintenance-page/
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no security concerns and appears to be a legitimate government maintenance page.
Safety Factors
Details
Page Title
Maintenance Page – Eastern Regional Housing Authority
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'erha-nm.gov' uses the United States government-restricted top-level domain (.gov). The second-level label 'erha-nm' is 7 characters long with 2 vowels and 4 consonants, along with one hyphen. Word splitting yields 3 words: e, rha, nm. Median word length is two characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 10 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 7 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 7 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 7 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 31 | 4 | - | - |
Detected Technologies7
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data