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Security Scan Report: roomster.com

Submitted: Mar 14, 2026, 12:09:05 AMCompleted: Mar 14, 2026, 12:10:42 AMpubliccompleted
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Summary

This website contacted 6 IPs in 1 country across 7 domains to perform 1 HTTP transaction. The main domain is roomster.com and was registered NaN years ago.

Submitted URL: https://roomster.com

The Cisco Umbrella rank of the primary domain is #246,970 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>20 years)
No malicious Indicators of Compromise
No credential or payment collection forms
No malware or suspicious scripts detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Find Rooms in USA, Roommates & Sublets Across the U.S. | Roomster

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Domain 'roomster.com' uses the commercial generic top-level domain (.com) with no subdomain. Count 8 characters in 'roomster' split between 3 vowels and 5 consonants. Tokenizing the label suggests one word: roomster. The median word length lands at 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://roomster.com

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:732 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
64%
adult content
58%
government public service
29%
phishing scam
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1104.20.23.25United States
AS13789
0142.251.127.97United States
AS13789
074.217.50.109New York, New York, United States
AS13789Unitas Global
020.250.198.32United States
AS13789
0146.75.122.132United States
AS13789
0104.18.19.62United States
AS13789
16--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15CC4A53AD40CDAAF572FEEC6F13B1DA5879DD05A32627CB0A01DC9B80392D79D257890

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:/y48Wnoh2opsO0bNEIYMxTQf7pK6Y2bX+NWwi9LI1kZT:bopsO0bNEIYMxTQf7pK6Y2bX+NWwi9L/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:549419:WYwGC4QhAGSIhABWOr5gzlBMJSUZohKgHwBJAGq8LUygUgAQEIhTEQQYAgUJkClQMYFoCNxCgvAQCRSIwwBYAInhrFx44Zyh

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:ff99f9f99181ffe9
Perceptual Hash:e9cb963c86c23cb4
Difference Hash:2333130333330913
Wavelet Hash:f889f9f98181e781
Color Hash:#931f84

Other Hashes

Crop Resistant:2333130333330913,af696135c24ac2e4,41556169690751cf

Scan History

Scan history not available

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