Security Scan Report: lineacareers.xyz

Redirected to:
https://lineacareers.xyz/conversation
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 23 HTTP transactions. The main domain is lineacareers.xyz and was registered 2 weeks ago.

Submitted URL: https://lineacareers.xyz/

Effective URL:
https://lineacareers.xyz/conversation
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Linea careers portal on an unofficial domain collects personal information under a private-invitation lure; brand impersonation and HIGH IDS alerts make it unsafe.

Risk Factors (5)
Impersonates the Linea brand on an unofficial domain
Collects personal information (name, email, GitHub username) via a fake invitation workflow
Hidden form fields and a verification step with no clear legitimate purpose
Unranked domain with unknown registration age and .xyz TLD
Multiple HIGH IDS alerts for PowerShell stager activity
Domain age information unavailable

Details

Page Title

Linea | Apply

Scan Type

public

Domain Name Analysis

You're looking at domain 'lineacareers.xyz' on the open generic top-level domain (.xyz) with no subdomain. The second-level label 'lineacareers' is 12 characters long containing six vowels alongside six consonants. Word splitting yields 3 words: line, a, careers. Median word length is 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

@ PRIVATE INVITATION Accept your Linea invitation Share your name, email, GitHub username and preferred r to continue. PERSONAL INFORMATION PREFERRED ROLE GITHUB_— SUBMIT Full name * Location Re...

Page Load Overview

1.93s
Total Load Time
575 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:541 chars
Detector Agreement:100%

All Detected Languages

🇺🇸en(87%)🇫🇷fr(13%)

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
58%
government public service
37%
cryptocurrency blockchain
34%
social media network
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23193.160.32.243Nuremberg, Bavaria, Germany
AS206216Advin Services LLC
231--

Detected Technologies2

Nginxv1.28.3
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T191C1136360F1587B05A3C6D6AED65B44FED08317C9141C40B2ED468D1FD9E83EB2766C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:1YDdre68UZLrfqUAj8SnCjMS0jxjJSZ8ojBSmn9b8zKctjFSUJoDiLdP:188U9rf005Z8dm9b8zKlvDiLN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5963:QDkkTWEAAFAuElIMKgDgAIgBIARLAJADAAgABmSAODQAQCgABlAaRFxAnCgRImEgsBmMgAAABpRSQIIAABEgACihHGQBgAEC

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:8183dfffffffffff
Perceptual Hash:be3a2a6e6e2e3890
Difference Hash:233b382860602878
Wavelet Hash:00008086bebebefe
Color Hash:07000000038

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data