Security Scan Report: img.goodcustomers.ru

Redirected to:
https://app.goodcustomers.ru/auth
Site favicon
Submitted: Sep 21, 2026, 6:43:28 PMCompleted: Sep 21, 2026, 6:44:10 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 55%

2
Risk Score

An own-brand authentication page on a never-ranked domain of unknown age. No forms, no brand impersonation, and no Indicators of Compromise, YARA, IDS or kit hits — nothing concrete indicates a scam.

Safety Factors
No Indicators of Compromise matched against the page or its loaded resources
No credential-harvesting or payment form detected in the DOM
No cross-origin credential exfiltration or suspicious JavaScript behaviour
Self-branded page consistent with its own domain, no impersonation of another entity
Domain age information unavailable

Details

Page Title

Authentification - Good Customers

Scan Type

public

Domain Name Analysis

The domain 'img.goodcustomers.ru' uses the Russian country-code top-level domain (.ru), featuring subdomain 'img'. Its registrable label 'goodcustomers' stretches across 13 characters split between five vowels and eight consonants. Tokenizing the label suggests two words: good, customers. Median word length is 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://img.goodcustomers.ru

Page Load Overview

6.09s
Total Load Time
7.8 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:54 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as de

Website Classification

Primary Category

government public service39% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
39%
news media journalism
32%
e-commerce shopping
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
75151.236.118.252Germany
AS204720Global Cloud Network LLC
7551.250.50.130Russia
AS200350Yandex.Cloud LLC
1502--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150258DFCF172A9FDF9399A2B063435A84C24147FFD3616A8F96972442D8361016F8A7C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:GUTcevf2QoFRIMgQvf2QoFRIMgMQBgPnG2b9GxPaSNhcQ8S4Bf1yNP:Gyv6FRbv6FRuBgPrbIxPamhcQ8t1yNP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1020876:FIrFRpSAaDJCBVVJUwHBiSwBQwoAQA8AABFEplcoEIgVUHgxJwVMgkhhwGExOyhMBAIHoSNRwiolIw08LdVhBA6CEgRChhtR

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data