Summary
This website contacted 50 IPs in 2 countries across 9 domains to perform 99 HTTP transactions. The main domain is abilenetx.gov and was registered NaN years ago.
Submitted URL: https://abilenetx.gov/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
Legitimate City of Abilene website with minimal risk.
Safety Factors
.gov TLD
Long domain age and well‑established registration date
Absence of malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable
Details
Page Title
Abilene, TX | Official Website
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(95%)Screenshot

Page Load Overview
46.19s
Total Load Time
99
HTTP Requests
9
Domains
8.9 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:6,256 chars
Detector Agreement:100%
Website Classification
Primary Category
government95% confidence
Type: spa
Method: structural
All Detected Categories
government
95%
forum
40%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 50 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 207.38.75.135 | United States | AS36489NETSOLUS-NETWORKS |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 52.41.251.120 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 142.250.185.78 | United States | AS15169GOOGLE |
| 1 | 44.225.74.15 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 54.189.137.75 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 99 | 50 | - | - |
Detected Technologies8
100%
40%
20%
20%
20%
20%
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T1EED32AE0E64C2837801331C4F17A6748A9BB9679E7075D55FCBE1370ABE0CE1D5722AA
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
3072:p3beRuXXAy1Ry1Dy1Ry18zy1Ry15y1Ry1ny1Ry1zy1Ry1V14nMkn65BlERt1g:preAXXAy1Ry1Dy1Ry18zy1Ry15y1Ry1B
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:135547:DKwPpdDC18iGSUCQEwMGZwBgnBAhJghPAmyQIt0FgiMBAFgAP4cECSFgEAJEAgXERUgIShhARdgjH1oRga/hBVGEQCwFFMwC
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:00e2fffe0000ffef
Perceptual Hash:e06ef11e1b9e0387
Difference Hash:9186c694f5b9859c
Wavelet Hash:00e2fbee0000ffef
Color Hash:#452dd2
Scan History
Scan history not available
Unable to load historical scan data