Security Scan Report: cabinets.fss.ru

Redirected to:
https://lk.fss.ru/
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Submitted: Oct 2, 2026, 2:11:26 PMCompleted: Oct 2, 2026, 2:12:05 PMpubliccompleted

This website contacted 1 IP in 1 country across 2 domains to perform 17 HTTP transactions. The main domain is lk.fss.ru and was registered 28 years ago.

Submitted URL: https://cabinets.fss.ru

Effective URL:

https://lk.fss.ru/
Redirected

The Cisco Umbrella rank of the primary domain is #420,834 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official Russian Social Fund (ФСС) electronic-cabinet portal on its own 28-year-old domain, redirected between its own subdomains. No forms, no credential collection, no threat-intel or malware findings. Legitimate.

Safety Factors (5)
Very long-established domain (28 years) on the organisation's own registered domain
Same-organisation redirect between two official subdomains (cabinets.fss.ru → lk.fss.ru)
Self-branding: page presents the Social Fund's own services and content, not another entity's brand
No forms, no credential or payment collection, no cross-origin requests
No Indicators of Compromise, YARA, Suricata, or Safe Browsing findings
Domain age information unavailable

Details

Page Title

Электронные кабинеты

Scan Type

public

Domain Name Analysis

The domain name 'cabinets.fss.ru' uses the Russian country-code top-level domain (.ru) with subdomain 'cabinets'. The registrable portion 'fss' spans 3 characters holding 0 vowels versus 3 consonants. Breaking it apart gives 2 words: fs, s. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cabinets.fss.ru

Page Load Overview

2.98s
Total Load Time
489 KB
Total Size

Language Analysis

Primary Language

🇷🇺Russian
Code: ru
Confidence:60%
Script:Cyrillic
Direction:ltr

Detection Details

Text Length:4,534 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical67% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
67%
government public service
50%
social media network
49%
adult content
47%
cryptocurrency blockchain
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17193.148.44.188Russia
AS34851Pension And Social Insurance Fund Of The Russian Federation
171--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T146F124B3425E1CBF0202A10BE820774E385F9E79AF674B61F377296623D3894C769069

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vJDNrr4ai9Un1YviBriD1jOSzINORoWoVOowBF:vJ7Qku6JiD1jOTNO6O1BF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7525:ocAmHiQIAFAJwwxRBA0O5ASSnyFIgAYwBUxOG0KI4GBQZJTACSxMBGUgGSZAkUpCACQKBsCUOQMATQ1IsAGAFsQboAgYHEkI

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:dfe3e3e3c3c3ffff
Perceptual Hash:e5649a99399a6665
Difference Hash:30060606868e0006
Wavelet Hash:8b81e3c3c0c0fcfc
Color Hash:#d2692d

Scan History

Scan history not available

Unable to load historical scan data