Security Scan Report: allegro.329583548349.courses

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is 329583548349.courses and was registered 2 weeks ago.

Submitted URL: http://allegro.329583548349.courses/

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Five-day-old domain using the 'Allegro' brand as a subdomain of an unrelated random-numeric .courses host, with an empty page. No forms or threat-intel hits, but the deceptive hostname pattern indicates brand impersonation risk.

Risk Factors (4)
Deceptive hostname using a third-party brand as a subdomain of an unrelated domain
Very newly registered domain (5 days old) with a suspicious TLD
No reputation and no verifiable association with the named brand
Near-empty page that could serve different content to different visitors
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

Domain 'allegro.329583548349.courses' uses the .courses top-level domain and includes subdomain 'allegro'. The second-level label '329583548349' is 12 characters long split between zero vowels and zero consonants, notching twelve digits. It segments into 1 word: 329583548349. No strong language cues emerged from the frequency lists.

Screenshot

CREAT

Page Load Overview

0.28s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Text Length:5 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2172.67.222.55Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
21--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1759002FF949140056D22798C6CC956C10815526835014D9015C164E8850C156C812189

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ671yTjvLcz:qzxO967MvQz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:25b7276ec73b4e5ee0900ed580fb8fa4

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:7fffffffffffffff
Perceptual Hash:83070707070f1fff
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:N/A

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data