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Security Scan Report: vadoc-cov-remote.gpcloudservice.com

Redirected to: https://virginia.okta.com/app/palo_alto_networks_prisma_access/exkaahtgggLBruQCl2p7/sso/saml

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Submitted: Dec 21, 2025, 2:04:35 AMCompleted: Dec 21, 2025, 2:05:16 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 4 domains to perform 21 HTTP transactions. The main domain is virginia.okta.com and was registered NaN years ago.

Submitted URL: https://vadoc-cov-remote.gpcloudservice.com

Effective URL: https://virginia.okta.com/app/palo_alto_networks_prisma_access/exkaahtgggLBruQCl2p7/sso/samlRedirected

The Cisco Umbrella rank of the primary domain is #15,375 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate login portal for Virginia IT Agency via Okta.

Safety Factors
Established domain age
Final URL matches legitimate brand (Okta)
No malicious Indicators of Compromise
No credential‑harvesting forms
Domain age information unavailable

Details

Page Title

Virginia Information Technologies Agency - Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

Within the commercial generic top-level domain (.com), 'vadoc-cov-remote.gpcloudservice.com' is registered, featuring subdomain 'vadoc-cov-remote'. The registrable portion 'gpcloudservice' spans 14 characters with 5 vowels and 9 consonants. It segments into three words: gp, cloud, service. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vadoc-cov-remote.gpcloudservice.com

Page Load Overview

8.68s
Total Load Time
21
HTTP Requests
4
Domains
269 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:800 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
government public service
76%
documentation technical
69%
adult content
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
576.223.42.213United States
AS16509AMAZON-02
23.164.206.107United States
AS16509AMAZON-02
2208.127.94.23United States
AS394089GCP-ENTERPRISE-USER-TRAFFIC
23.164.206.39United States
AS16509AMAZON-02
23.174.113.81United States
AS16509AMAZON-02
23.164.206.108United States
AS16509AMAZON-02
23.164.206.129United States
AS16509AMAZON-02
23.174.113.97United States
AS16509AMAZON-02
213.248.165.67United States
AS16509AMAZON-02
219--

Detected Technologies1

HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D41319D10D15CCEE1296AD88563B520A3242A283C7A2CAC477FDCDC9AFECD1B741E65C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:I5KNX/Phz/TlGDGeflX6/DGeflX6R8DGeflX61quq:aKNPPhrlGGeflXeGeflXkIGeflXCq1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42887:AoQmQAIEKLTCZHMACxHYmCBFCRMyMQZMYAADEgUTUKyoBoAEtM6EYX3QBgAgBCQcVAAC3BFKiCUMZahWiEJklUmkCBIiETVp

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:f77e7e7e7e7f4342
Perceptual Hash:f5cf248b34accb30
Difference Hash:8e6868d4f8619596
Wavelet Hash:e73c3c7c3c3c0500
Color Hash:#2dbad2

Other Hashes

Crop Resistant:8e6868d4f8619596,0000283030000020

Scan History

Scan history not available

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