Security Scan Report: user2.ipcam.so

Submitted: Completed: publiccompleted
This website contacted 21 IPs in 5 countries across 10 domains to perform 21 HTTP transactions. The main domain is ipcam.so and was registered 5 years ago.

Submitted URL: https://user2.ipcam.so

The Cisco Umbrella rank of the primary domain is #367,221 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Parked/monetized subdomain showing only 'Related Searches' ad blocks and a cookie banner; no forms, no impersonation, no malware. Reputation-only parking tag on a third-party address adds nothing.

Risk Factors (2)
Domain serves a monetized parking/related-search page rather than a real website
Ad-style 'Related Searches' link blocks route visitors to third-party search/affiliate destinations of unknown quality
Safety Factors (4)
No credential, login or payment forms on the page
No brand impersonation detected — the page makes no claim to be another organisation
No JavaScript malware patterns, no IDS alerts, no credential exfiltration
Domain registered ~1980 days ago (2021-06-08)
Domain age information unavailable

Details

Page Title

ipcam.soother network

Scan Type

public

Domain Name Analysis

The domain name 'user2.ipcam.so' uses the .so country-code top-level domain, featuring subdomain 'user2'. Its registrable label 'ipcam' stretches across 5 characters split between two vowels and 3 consonants. It segments into 2 words: ip, cam. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://user2.ipcam.so

Page Load Overview

3.68s
Total Load Time
296 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Text Length:44 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
69%
blog personal website
51%
documentation technical
51%
government public service
48%
adult content
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1103.224.182.244San Diego, California, United States
AS133618Trellian Pty. Limited
1143.204.181.123Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.218.186.77Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1103.224.182.220San Diego, California, United States
AS133618Trellian Pty. Limited
1207.154.244.157Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
195.211.116.26Netherlands
AS60781LeaseWeb Netherlands B.V.
1142.251.127.139Google · CDNUnited States
AS15169Google LLC
118.66.147.90Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13.78.137.250Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
2121--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5E2B51546F2042155862035DEBF6A8973754A23748CEC08BECC6640EFAD9BB4DFABF4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:MBZBsjBjrAyhtbgt4MiIO/5/9SL44WgjgnEMUnEMzQnGG:EMMFWgjaEVE4Y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33083:ei4DEKSutARhgpSVFgEwmnApuoigVCKcoCFRx8iMjqYqi1oW7SRQAJAgKIAO6CCAAkgARIgE8IVUliBoWGgNwqYtaDEqATCA

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:0042c300000000ff
Perceptual Hash:b460b34e9a4f9a2e
Difference Hash:96969696b2b2b23b
Wavelet Hash:00f7ffc3401818ff
Color Hash:31007000000

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data