Security Scan Report: cloud.p2psoftware.com

Redirected to: https://login.callahan.com/login?ec=302&inst=Vb&startURL=%2Fidp%2Flogin%3Fapp%3D0sp7V000000PAw5%26RelayState%3Dhttps%253A%252F%252Fcloud.p2psoftware.com%26binding%3DHttpPost%26inresponseto%3D_a0dc21e8-1029-476e-885a-0315050a5e11

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Submitted: Jan 5, 2026, 10:58:20 AMCompleted: Jan 5, 2026, 10:59:32 AMpubliccompleted
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Summary

This website contacted 15 IPs in 3 countries across 11 domains to perform 68 HTTP transactions. The main domain is login.callahan.com and was registered NaN years ago.

Submitted URL: https://cloud.p2psoftware.com

Effective URL: https://login.callahan.com/login?ec=302&inst=Vb&startURL=%2Fidp%2Flogin%3Fapp%3D0sp7V000000PAw5%26RelayState%3Dhttps%253A%252F%252Fcloud.p2psoftware.com%26binding%3DHttpPost%26inresponseto%3D_a0dc21e8-1029-476e-885a-0315050a5e11Redirected

The Cisco Umbrella rank of the primary domain is #348,561 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

0
Risk Score

Legitimate login page for Callahan & Associates with no apparent security threats.

Safety Factors
Final destination domain aligns with the brand shown on the page
Established domain age reduces suspicion
Absence of malicious Indicators of Compromise
Only standard credential fields present
Domain age information unavailable

Details

Page Title

Login | Clients

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(44%)

Domain Information

Within the commercial generic top-level domain (.com), 'cloud.p2psoftware.com' is registered with subdomain 'cloud'. The second-level label 'p2psoftware' is 11 characters long holding three vowels versus seven consonants, notching one digit. Breaking it apart gives 4 words: p, 2, p, software. The median word length lands at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cloud.p2psoftware.com

Page Load Overview

6.39s
Total Load Time
18
HTTP Requests
4
Domains
2 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-us
Text Length:582 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business44% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
44%
social_media
25%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4160.16.238.49United States
1160.8.191.2Germany
135.158.127.53Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1192.28.153.119Unknown
1142.250.185.110UnknownUnknown
163.233.79.11United States
AS19031WESCO
1160.8.187.2London, England, United Kingdom
AS14340SALESFORCE
1104.17.71.206United States
AS13335CLOUDFLARENET
135.158.127.52Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1104.17.24.14UnknownUnknown
1815--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D242E7B19E349C324643CA98B8F4FF4D306ED32E47408E4C77BC115AA7D7D5A95309AA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:93zO/zRgJarJs7YMRF3MiFmqvWNeo3yJ0yN28BDR2MfWJd2L3Mwq2pfszyj:Ju6JaNsEcm3yN6MfWJYwQEs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12874:oAIACDySANYoQYoh04gp8GMiKYOiFsqEQorhQBBQdAC0wIIwRDXJAAiD4ksA8lkIiCnwxCOQUEAFQTAI4AgsWZCcY6IQQ8CX

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:fff0f0ffffffffff
Perceptual Hash:ec64d39999b1e164
Difference Hash:8725e62337c33238
Wavelet Hash:f38060711111ff0f
Color Hash:#4071bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data