Security Scan Report: romanly.app

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Submitted: Jan 7, 2026, 3:06:26 PMCompleted: Jan 7, 2026, 3:07:36 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 34 HTTP transactions. The main domain is romanly.app and was registered NaN years ago.

Submitted URL: https://romanly.app/waitlist

AI Security Verdict

High Risk

Confidence: 92%

9
Risk Score

High‑risk phishing site impersonating LinkedIn on a brand‑new domain.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Critical domain age (<7 days) with personal data collection
Unranked domain claiming a well‑known brand
Domain age information unavailable

Details

Page Title

Romanly — One match a day

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(34%)

Domain Information

You're looking at domain 'romanly.app' on the application-focused generic top-level domain (.app) while skipping any subdomain. The second-level label 'romanly' is 7 characters long with two vowels and 5 consonants. It segments into 2 words: roman, ly. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://romanly.app/waitlist

Page Load Overview

2.63s
Total Load Time
35
HTTP Requests
1
Domains
743 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:301 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
34%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1864.29.17.1United States
AS16509AMAZON-02
17216.198.79.1United States
AS16509AMAZON-02
352--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T109825339B444CA5AE897AD5A603EAF3E68CDC52BC556DDB8F2ECC9410783C784745EC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jD/OW1FIUT9BvP6g6RhrOa74W25VaKsd7bPlLynq20HiYA/Wv:jD/ZTIUT9BX6g6RhrT4W25VaKsxPtyna

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17698:EgASJAEIMECCigAxV1GVTBAbBsoCgCEBzZE55ACZSawlgaVoI4EiT6WwALhBIgIiAUQS9SrEoRRIJooCAGSQgBUBQC6CKhgQ

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:a6e6feceeece0000
Perceptual Hash:f5e626b88e1c988e
Difference Hash:6c0c141c1c101656
Wavelet Hash:bee6dececece0000
Color Hash:#2dc7d2

Other Hashes

Crop Resistant:6c0c141c1c101656

Scan History

Scan history not available

Unable to load historical scan data