Security Scan Report: seekasia.com

Redirected to: https://www.seek.com/careers

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Submitted: Jan 18, 2026, 5:18:29 PMCompleted: Jan 18, 2026, 5:20:08 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 55 HTTP transactions. The main domain is seek.com and was registered NaN years ago.

Submitted URL: https://seekasia.com

Effective URL: https://www.seek.com/careersRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site redirects to the legitimate SEEK careers page with no suspicious activity.

Safety Factors
Official brand domain in final URL
Long‑standing domain registration
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Careers at SEEK | SEEK

Scan Type

public

Language

🇺🇸

English

(53% confidence)

Category

government public service

(95%)

Domain Information

You're looking at domain 'seekasia.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'seekasia' stretches across 8 characters split between 5 vowels and 3 consonants. Word splitting yields two words: seek, asia. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://seekasia.com

Page Load Overview

5.88s
Total Load Time
105
HTTP Requests
33
Domains
903 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:53%
Script Type:Latin
Text Length:3,250 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service95% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
95%
corporate business
94%
adult content
93%
documentation technical
92%
technology software
91%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21104.18.41.198Germany
2113.33.187.60New York, New York, United States
AS16509AMAZON-02
2165.9.175.62United States
AS16509AMAZON-02
213.233.158.112Singapore
21172.64.146.233United States
AS13335CLOUDFLARENET
1055--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFE3F1769212EEB9424E5A8B6D363F3612DEC01FEC4F795841E84B0F17F08776A62178

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:rgQQReeheedeereeBeeZee/eeZeeIkirQoCW7d648/oW/Skc967+c+z+a2TxVqoz:KVnVqoIw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:148624:UORw4QBMxanTCMBFMAgQgiEOAUABsgYBBGgxO5EQYAIEAJDJAi8YaYoCwFgTatQZGy+XQAADoKDI4YQTkCoTJxOAC2CkYARD

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:ff000404ffffff00
Perceptual Hash:92126dedcd9293ac
Difference Hash:4bc959d9960e2d49
Wavelet Hash:bf000004ffffff00
Color Hash:#7f2dd2

Scan History

Scan history not available

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