Summary
This website contacted 13 IPs in 3 countries across 5 domains to perform 90 HTTP transactions. The main domain is stlfc.gov and was registered NaN years ago.
Submitted URL: https://stlfc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate government resource with no security concerns.
Safety Factors
Details
Page Title
STLFC
Scan Type
public
Language
English
Category
government public service
(81%)Domain Information
Domain 'stlfc.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'stlfc' stretches across 5 characters containing 0 vowels alongside five consonants. Segmentation suggests two words: st, lfc. Median word length comes out to 2.5 characters. 'st' is most common in Afrikaans usage. Usage also turns up in Breton and Estonian contexts. Net impression: Afrikaans phrase.
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 |
|---|---|---|---|
| 18 | 104.18.95.41 | United States | AS13335CLOUDFLARENET |
| 6 | 95.101.10.131 | Oslo, Oslo County, Norway | AS20940Akamai International B.V. |
| 6 | 104.102.33.89 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 76.223.105.230 | United States | AS16509AMAZON-02 |
| 6 | 162.159.128.61 | United States | AS13335CLOUDFLARENET |
| 6 | 104.18.94.41 | United States | AS13335CLOUDFLARENET |
| 6 | 95.101.10.128 | Oslo, Oslo County, Norway | AS20940Akamai International B.V. |
| 6 | 13.248.243.5 | United States | AS16509AMAZON-02 |
| 6 | 2606:4700::6812:5f29 | United States | AS13335CLOUDFLARENET |
| 6 | 2a02:26f0:3500:2ba::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 90 | 13 | - | - |
Detected Technologies5
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
Unable to load historical scan data