Security Scan Report: www.sts.org

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Submitted: Feb 26, 2026, 8:01:21 PMCompleted: Feb 26, 2026, 8:03:07 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is sts.org and was registered NaN years ago.

Submitted URL: https://www.sts.org/awards-and-named-lectures

The Cisco Umbrella rank of the primary domain is #455,171 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security threats detected.

Safety Factors
Well‑established domain (>30 years old)
HTTPS connection (secure transport)
No forms collecting sensitive data
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
Domain age information unavailable

Details

Page Title

400 Bad Request

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'www.sts.org' is registered and includes subdomain 'www'. The core label 'sts' covers 3 characters containing 0 vowels alongside 3 consonants. Breaking it apart gives 1 word: sts. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.sts.org/awards-and-named-lectures

Page Load Overview

7.35s
Total Load Time
37
HTTP Requests
15
Domains
453 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,798 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
88%
healthcare medical
79%
government public service
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37165.227.251.169Clifton, New Jersey, United States
AS14061DigitalOcean, LLC
371--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B9F0969B9F11303B6E238571F4836168DF640997FBC915E28759011F72C904289B6FE8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxdEBnobx0Aq9BnzlIgrRCHTF83TF83TF83TF83TF83TFf:k8BnomAwBnRDYTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:554:AAAAAAAAECgAAAAAAAgAAAAAAAABAAAAAAAAQAAAAAAAAAAAAAAAAAAAAAAACAAAAAAAAABFAAAAAAAAACBQAAAAAAAQAAAA

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:00ffffffffffffff
Perceptual Hash:a333333333333333
Difference Hash:0c00000000000000
Wavelet Hash:00ff3f3f00000000
Color Hash:#87c2c5

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

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