Security Scan Report: providers.cloudsoftphone.com

Redirected to:
https://providers.cloudsoftphone.com/ui/security/anonymous/sign-in?por...
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Submitted: Completed: publiccompleted
This website contacted 23 IPs in 1 country across 17 domains to perform 50 HTTP transactions. The main domain is cloudsoftphone.com and was registered 14 years ago.

Submitted URL: https://providers.cloudsoftphone.com

Effective URL:
https://providers.cloudsoftphone.com/ui/security/anonymous/sign-in?por...
Redirected

The Cisco Umbrella rank of the primary domain is #93,334 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Established Cloud Softphone portal with its own same-origin login page; no impersonation, credential exfiltration, malware, or threat-intelligence hits found.

Safety Factors (5)
Established domain over 14 years old
Same-origin login form on the site's own domain
No credential exfiltration detected
No threat-intelligence, hunting rule, or phishing/malware IDS hits
Self-branding matches the registered domain
Domain age information unavailable

Details

Page Title

Cloud Softphone Portal | Sign in

Scan Type

public

Domain Name Analysis

The domain 'providers.cloudsoftphone.com' uses the commercial generic top-level domain (.com), featuring subdomain 'providers'. Its registrable label 'cloudsoftphone' stretches across 14 characters holding five vowels versus nine consonants. Word splitting yields three words: cloud, soft, phone. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Sign In Usemame: Username Password: Password Forgotten password? Sign In Don't have an account yet? Sign up now Terms & Condi jons

Page Load Overview

3.15s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:199 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
74%
technology software
73%
documentation technical
36%
adult content
29%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
618.223.68.252Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
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AS13335Cloudflare, Inc.
2192.178.183.97Google · CDNUnited States
AS15169Google LLC
2172.64.147.16Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.77.142Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.91.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.223.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.160.168Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.16.49.78Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.92.187Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5023--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC34D6DBF9D02C296917815AA5C0BBFD692F5482D7065EABB05F3724CF8C2D60663B0C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:Vyhy9WH7lmKl+iLWPNTYNnWRWE3t3ouJrjY82oUHshIgsaHSiA:Vyhy9WH7lmKl+iLWPNTYNnWRWEugsaHi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:250502:AMHOpBVAGDDgggIAgkRkaiW5CEFiAACIAEwgqXRpAFAjEUoUhSlAWIRADI0UpjBQBIg6hkEnEAGSjVmqRAtChAEEEISJqlYK

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:0081ffffffffff00
Perceptual Hash:ff373b846e811b80
Difference Hash:4519000c04100005
Wavelet Hash:00e32020243cff00
Color Hash:070000001c0

Scan History

Scan history not available

Unable to load historical scan data