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Security Scan Report: drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru

Submitted: Dec 26, 2025, 7:44:18 PMCompleted: Dec 26, 2025, 7:45:08 PMpubliccompleted
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Summary

This website contacted 0 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru.

Submitted URL: https://drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru

The Cisco Umbrella rank of the primary domain is #729,903 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No suspicious indicators or malicious activity observed
Absence of credential or payment collection fields
Domain age information unavailable

Details

Page Title

drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru

Scan Type

public

Language

🇺🇸

English

(68% confidence)

Category

technology software

(70%)

Domain Information

The domain name 'drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru' uses the Russian country-code top-level domain (.ru) with subdomain 'drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www'. Its registrable label 'softp' stretches across 5 characters containing one vowel alongside four consonants. Tokenizing the label suggests two words: soft, p. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://drivers.drivers.drivers.drivers.drivers.drivers.drivers.drivers.www.softp.ru

Page Load Overview

1.00s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:68%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:68%
Script Type:Latin
Text Length:84 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software70% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
70%
documentation technical
57%
cryptocurrency blockchain
49%
news media journalism
45%
phishing scam
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D4048F77329A063986558498E457830DAF20B143F506C8BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz92bMy8OldK:6hoC9JSqzzbs6o3Sj3gcrsJ2eAU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:187570:IWgCYFIDIBoIhIQ4SYIkAA2AEeWJfKwAOJIaAIACIQig4wEXYLgEsowICpJBgDVgMhPw6lkADgLQBcSsBEAkEAgNaIYUSQAO

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:ffc7c3c3d3ffffff
Perceptual Hash:b1339ecccc933364
Difference Hash:00181c1c16000000
Wavelet Hash:fcdcc0c4033f0f0f
Color Hash:#e0dc6c

Other Hashes

Crop Resistant:00181c1c16000000

Scan History

Scan history not available

Unable to load historical scan data