Security Scan Report: pajak-online.loe.today

Redirected to:
https://pajak-online.loe.today/
Submitted: Apr 11, 2026, 10:07:02 AMCompleted: Apr 11, 2026, 10:08:21 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is pajak-online.loe.today and was registered NaN years ago.

Submitted URL: http://pajak-online.loe.today/

Effective URL: https://pajak-online.loe.today/Redirected

AI Security Verdict

High Risk

Confidence: 90%

7
Risk Score

Critical IDS alert shows possible data exfiltration; site is unranked and lacks legitimate content – treat as high‑risk malware distribution.

Risk Factors
Critical IDS alert indicating possible data exfiltration
Domain unranked with low reputation
Domain age information unavailable

Details

Page Title

Redirecting...

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(47%)

Domain Information

You're looking at domain 'pajak-online.loe.today' on the .today top-level domain, featuring subdomain 'pajak-online'. Its registrable label 'loe' stretches across 3 characters holding two vowels versus 1 consonant. It segments into 1 word: loe. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pajak-online.loe.today/

Page Load Overview

0.83s
Total Load Time
6
HTTP Requests
3
Domains
47 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:277 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping47% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
47%
technology software
37%
entertainment media
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.239.57.117Chicago, Illinois, United States
AS63949Akamai Connected Cloud
3172.234.216.100Chicago, Illinois, United States
AS63949Akamai Connected Cloud
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T180A022FEE080300CEE3033C800E033E82CC8C02020CC3A303F0030F0A8C8A2ACA82082

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qLJhquHbszROTkMT3kcvXbZ6iF4:q9hqIY9Ok5CX965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c4e3b118f51fb850fb544462f295c176

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:8181ffffffffffff
Perceptual Hash:ba3a3a3a3a3a3a98
Difference Hash:0b0b00070000000c
Wavelet Hash:81818181ffffff00
Color Hash:#40bf79

Other Hashes

Scan History

Scan history not available

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