Security Scan Report: app-test.fastfix.net.ru

Redirected to:
https://app-test.fastfix.net.ru/customer/login
Site favicon
Submitted: May 16, 2026, 1:38:42 AMCompleted: May 16, 2026, 1:40:19 AMpubliccompleted

This website contacted 1 IP in 1 country across 2 domains to perform 142 HTTP transactions. The main domain is app-test.fastfix.net.ru and was registered 29 years ago.

Submitted URL: https://app-test.fastfix.net.ru/@vite/client

Effective URL:

https://app-test.fastfix.net.ru/customer/login
Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears legitimate with a low risk level; minor concerns exist due to obfuscated JavaScript and a weak third‑party indicator.

Risk Factors (2)
High JavaScript obfuscation score (moderate signal)
Single‑source unverified threat‑intel match on third‑party domain net.ru
Safety Factors (4)
Old, well‑established domain registration
No primary domain Indicators of Compromise
No external credential exfiltration detected
No payment fields or malicious YARA patterns
Domain age information unavailable

Details

Page Title

FASTFIX - Платформа управления послепродажным обслуживанием

Scan Type

public

Domain Name Analysis

Domain 'app-test.fastfix.net.ru' uses the Russian country-code top-level domain (.ru); it also runs on subdomain 'app-test.fastfix'. The second-level label 'net' is 3 characters long with 1 vowel and 2 consonants. Tokenizing the label suggests 1 word: net. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://app-test.fastfix.net.ru/@vite/client

Page Load Overview

18.19s
Total Load Time
10.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:274 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ru

Website Classification

Primary Category

technology software56% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
56%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14289.169.166.77Russia
AS200350Yandex.Cloud LLC
1421--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D647814B514D231345AD32BEA54BE9B334FB486EEB9FC66F30026E74B0EC2E8159653

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:HN8wEU43f2v204Yj2cDMF6+xcaaCKq/zZV7PaEyFuM33YfA/uOS1kehq:Hr43f2v5hMxWa7zZV7PQuM3SvX18

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:317525:EMpQYCJ0MSEgUAiEFZIBAEQwCQgQUDhoSQBlAJIjC4UQECE4ESkAO4CSSFYRAijCSAQmQkYEhiT0geBEyCpCQKAAwClyowAI

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:8000181818181818
Perceptual Hash:cc33328eb9cd22cd
Difference Hash:0105323232323231
Wavelet Hash:f0f0f8f8f8d89818
Color Hash:#433a78

Scan History

Scan history not available

Unable to load historical scan data