Security Scan Report: linkedinoverduepastinvoices.com

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 4 domains to perform 13 HTTP transactions. The main domain is linkedinoverduepastinvoices.com and was registered 4 months ago.

Submitted URL: https://linkedinoverduepastinvoices.com

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Dormant placeholder page on a 133-day-old, unranked domain whose hostname pairs the LinkedIn brand with an 'overdue past invoices' lure. No forms or malware yet, but the deceptive phishing-style hostname warrants avoidance.

Risk Factors (4)
Deceptive hostname combining a major brand (LinkedIn) with an invoice/overdue-payment lure
Unranked domain with no reputation
Recently registered domain (133 days) with no legitimate content or corporate identity
Parked/placeholder infrastructure consistent with a phishing domain staged for future use
Safety Factors (6)
No credential, login, or payment forms present on the page
No Indicators of Compromise matched in threat intelligence
No JavaScript malware (YARA) or malicious behavioral signals detected
No network IDS alerts
No cross-origin credential exfiltration observed
No concrete malicious signal (no IoC / YARA / Safe-Browsing / IDS / credential form / brand impersonation) — elevated risk rested on domain age or reputation alone; clamped from 7 to 5
Domain age information unavailable

Details

Page Title

Coming Soon

Scan Type

public

Domain Name Analysis

Domain 'linkedinoverduepastinvoices.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'linkedinoverduepastinvoices' is 27 characters long split between 12 vowels and 15 consonants. Splitting it apart reveals 5 words: linked, in, overdue, past, invoices. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://linkedinoverduepastinvoices.com

Page Load Overview

4.30s
Total Load Time
865 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:36%
Script:Latin
Direction:ltr

Detection Details

Text Length:107 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
97%
documentation technical
72%
real estate property
59%
healthcare medical
56%
e-commerce shopping
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5198.185.159.145Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
2142.251.20.95Google · CDNUnited States
AS15169Google LLC
2146.75.120.237Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2142.251.14.94Google · CDNUnited States
AS15169Google LLC
2198.49.23.144Squarespace · CLOUDUnited States
AS53831Squarespace, Inc.
135--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B5512319BC41902E9B61C2412362FB3CE18DC326C74AD7C5F2B905A67FDEACE085729C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:Qv+lYfLvCqN6Q95AO4UElnJHaQciOZaQcvdDaQcvqaQci2aQcv1XKaUbBnBMUMtw:Qv+lYfTCt0iOElJHoiOZolDoCoi2oFKB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2926:hBAAAMAAoAQABAgAAAJCAIAIAEIQIAACAAAQiAAAIBQCEAEQAIAAAIhAAhEAECgAABAAAoAABAghACCAAQALAYAQACAAhAAA

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:f8f8b8f0f0e0c080
Perceptual Hash:cd9f3af0c038e10f
Difference Hash:123060e2c2931343
Wavelet Hash:f8fcf8f8f0e0c0a0
Color Hash:#cd2dd2

Other Hashes

Crop Resistant:123060e2c2931343

Scan History

Scan history not available

Unable to load historical scan data