Security Scan Report: sampathvishwa.com

Submitted: Mar 25, 2026, 1:35:49 AMCompleted: Mar 25, 2026, 1:38:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is sampathvishwa.com and was registered NaN years ago.

Submitted URL: https://sampathvishwa.com

The Cisco Umbrella rank of the primary domain is #592,802 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

sampathvishwa.com

Scan Type

public

Language

🇺🇸

English

(100% confidence)

Category

phishing scam

(31%)

Domain Information

Within the commercial generic top-level domain (.com), 'sampathvishwa.com' is registered and has no subdomain. The core label 'sampathvishwa' covers 13 characters holding four vowels versus nine consonants. Breaking it apart gives 4 words: sam, path, vis, hwa. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sampathvishwa.com

Page Load Overview

4.83s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:100%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:100%
Script Type:Latin
Text Length:56 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam31% confidence
Type: static
Method: ml+structural

All Detected Categories

phishing scam
31%
documentation technical
30%
cryptocurrency blockchain
30%
news media journalism
29%
technology software
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2222.165.132.252Gonapola, Western Province, Sri Lanka
AS9329Sri Lanka Telecom Internet
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T144048F77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8Old6:zhoC9JSqzzbs6o3Sj3gcrs02eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184456:YAOxSJiFtKELAVASAAxgQImtILrgFJA2ZsCxcCECBqkBBAtTH5BgpyYIjACDcDAwRouUrSJmYJIEQuUwCmlDBqqgIAQQyLAQ

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:ffcfc7f3ffffffff
Perceptual Hash:b1319acecc6c3333
Difference Hash:0018180600000000
Wavelet Hash:ffdfc7f300000000
Color Hash:#2dd2c7

Other Hashes

Crop Resistant:0018180600000000

Scan History

Scan history not available

Unable to load historical scan data