Security Scan Report: www.e-st.lv

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Submitted: Completed: publiccompleted
This website contacted 11 IPs in 3 countries across 12 domains to perform 113 HTTP transactions. The main domain is e-st.lv.

Submitted URL: https://www.e-st.lv/lv/private/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Official AS Sadales tīkls customer portal on its own domain, using Latvian eID/SmartID same-origin login. No payment or password fields, no Indicators of Compromise, no malware or IDS hits.

Safety Factors (5)
Login uses national eID / SmartID authentication rather than a site-collected password
All form actions resolve to the site's own registered domain
No threat-intelligence, hunting rule, IDS or kit-roster findings
Reputable consent-management and analytics vendors only; no credential exfiltration detected
Content and meta description consistently describe the real Sadales tīkls customer portal services (meter readings, consumption graphs, e-service cards)
Domain age information unavailable

Details

Page Title

www.e-st.lvother network

Scan Type

public

Domain Name Analysis

Domain 'www.e-st.lv' uses the Latvian country-code top-level domain (.lv) and includes subdomain 'www'. The core label 'e-st' covers 4 characters containing one vowel alongside two consonants, along with one hyphen. Segmentation suggests 2 words: e, st. Median word length is 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

> mangi majai Sazinai Elektroatslégumu karte e-SASKANOJUMI © piesakiet pakalpo) umi AS Sadales tikls klientu portala © sekojiet elektroenerdijas paterinam VIENKARSI.ERTAK | @ nododiet skaititaj...

Page Load Overview

2.26s
Total Load Time
2.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:lv
Text Length:791 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service57% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
57%
documentation technical
54%
corporate business
41%
technology software
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1383.136.136.37Riga, Riga, Latvia
AS29600AS Latvenergo
10142.251.14.97Google · CDNUnited States
AS15169Google LLC
1034.149.254.14Google · CDNKansas City, Missouri, United States
AS396982Google LLC
10216.239.34.36Google · CDNUnited States
AS15169Google LLC
1034.102.170.124Google · CDNKansas City, Missouri, United States
AS396982Google LLC
10132.164.185.22Azure · CLOUDDublin, Leinster, Ireland
AS8075Microsoft Corporation
1035.190.14.188Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1034.95.108.180Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1035.201.111.240Google · CDNKansas City, Missouri, United States
AS396982Google LLC
10172.217.208.95Google · CDNUnited States
AS15169Google LLC
11311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C233C4E3AAA1951A0513D0D0F5AAF31C7BAAC057C70A8D7879EC526C4FC2ED48917F8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:V3V29I1gzzqF0OmFugl6KYS+hkQFpFSgiAFeOmbtMNUtNzNn3SSVOV:pV29Wgz26s2NYtzDRmyYZR3SSsV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55017:wBQjkQCqCIMFRz2phIFgAqPxiJAAEPZzkHQqJSUiAPAacgjYQBgKzgIhQEgZjiIlCCKoAAQcWYBJQGYBZEUCCg/iKggG7QAE

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:dfffffffff000000
Perceptual Hash:bcbc383c9c3c9cd0
Difference Hash:3c3e484cc8691165
Wavelet Hash:9fc6ffe7ff000000
Color Hash:070000001c0

Scan History

Scan history not available

Unable to load historical scan data