Security Scan Report: intop.lv

Submitted: Jan 22, 2026, 7:24:20 AMCompleted: Jan 22, 2026, 7:25:58 AMpubliccompleted
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Summary

This website contacted 9 IPs in 3 countries across 9 domains to perform 116 HTTP transactions. The main domain is intop.lv.

Submitted URL: https://intop.lv/lv-lv

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Likely phishing site; do not submit credentials

Risk Factors
Unknown domain age
Multiple password fields on an unranked, newly‑seen domain
Excessive redirects (5) indicating possible redirect abuse
Domain age information unavailable

Details

Page Title

INTOP.lv - Tavs interneta veikals

Scan Type

public

Language

🇱🇻

LV

(80% confidence)

Category

documentation technical

(47%)

Domain Information

The domain 'intop.lv' uses the Latvian country-code top-level domain (.lv). Its registrable label 'intop' stretches across 5 characters containing 2 vowels alongside 3 consonants. Splitting it apart reveals 2 words: in, top. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://intop.lv/lv-lv

Page Load Overview

5.23s
Total Load Time
137
HTTP Requests
15
Domains
8.1 MB
Total Size

Language Analysis

Primary Language

🇱🇻LV
Code: lv
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:lv
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:lv
Text Length:12,519 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical47% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
47%
e-commerce
20%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1792.240.68.58Latvia
AS5538Institute of Mathematics and Computer Science of University of Latvia
15172.67.195.59United States
AS13335CLOUDFLARENET
15142.250.184.234United States
AS15169GOOGLE
15216.58.206.40United States
AS15169GOOGLE
15172.67.177.94United States
AS13335CLOUDFLARENET
15172.217.18.3United States
AS15169GOOGLE
15157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1518.66.102.11UnknownUnknown
15151.101.194.137UnknownUnknown
1379--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1164423F2E0F0227B4186C1C67A212729B987C5AFEE960B05F5FC63C91F42ED2991365D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HhEOqnlIcPXl2ehD/IS2JaI/L0UCV0ISJJ8lT2sT9hePWR:HhEOQlIcN2ejHsYR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:276400:gyTT4CUUBKqkJSSAABE3gF0EKEMVRSIUCAAAYKiqHguhdyQETExMECs00lqYy5lxUwAEGHHSTBYJpkFJAFEQU0IIQAEibEq7

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:0000e7c3efe3ffff
Perceptual Hash:e3371c1a3163e396
Difference Hash:67700f0f1b136056
Wavelet Hash:0000e3c1e3c1ffff
Color Hash:#ac5393

Scan History

Scan history not available

Unable to load historical scan data