ScanMalware.com

Security Scan Report: privovte.com

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ad2af878-00bb-4885-8de7-cf9a08b9046cDomain and IP registration (RDAP)/api/v1/rdap/ad2af878-00bb-4885-8de7-cf9a08b9046cHow often this domain was scanned/api/v1/domain/stats/privovte.comScan history for this domain/api/v1/domain/history/privovte.com?limit=15
This website contacted 9 IPs in 2 countries across 5 domains to perform 16 HTTP transactions. The main domain is privovte.com and was registered 4 months ago.

Submitted URL: https://privovte.com/

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Single-source unverified phishing report and a password field without username trigger HIGH_RISK, but the site self-brands as Privovte and shows no exfiltration or impersonation.

Risk Factors (2)
Single-source unverified phishing report on the primary domain
Password field without a username detected, a suspicious credential-harvesting pattern
Domain age information unavailable

Details

Page Title

Privovte.com

Scan Type

public

Domain Name Analysis

Domain 'privovte.com' uses the commercial generic top-level domain (.com) without a subdomain. The second-level label 'privovte' is 8 characters long with 3 vowels and five consonants. Splitting it apart reveals 3 words: priv, ovt, e. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://privovte.com/

Page Load Overview

1.10s
Total Load Time
370 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:6,154 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
78%
technology software
74%
blog personal website
68%
government public service
65%
news media journalism
61%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
862.60.226.244Frankfurt am Main, Hesse, Germany
AS214351Femo It Solutions Limited
1192.178.183.95Google · CDNUnited States
AS15169Google LLC
1104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.94Google · CDNUnited States
AS15169Google LLC
169--

Detected Technologies8

WordPressv7.1.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
PHP
50%
MySQL
50%
Nginxv1.28.3
40%
Tailwind CSS
30%
Unpkg
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19E343B72DA071C25BB274A87F1CDB7C9941F83CA950708ACB5A65270C5CE97A25F23EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ehspS5P/n3Tb8TtlEUcXzkiWEIrnG79JFnCyA20gMWQFix+uH:/230UdI7092Ilx/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234960:JGUAFBIMH5oBzEAQqQEGgggSHEOcSQIrAEYDMwEBdCBEADQ5CKrMbD0AQoANAOILRh0kwIihcEnmQCgICDs0AQ6BYEISCEAR

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:0639190101193901
Perceptual Hash:8a9c943737b4b49c
Difference Hash:9431316909616131
Wavelet Hash:5f3d3d39013d3d01
Color Hash:#e06c7f

Other Hashes

Crop Resistant:464600060000200e,9431336909616131

Scan History

Scan history not available

Unable to load historical scan data