Security Scan Report: www.ajobthing.com

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Submitted: Completed: publiccompleted
This website contacted 21 IPs in 2 countries across 14 domains to perform 79 HTTP transactions. The main domain is ajobthing.com and was registered 11 years ago.

Submitted URL: https://www.ajobthing.com/resources/blog/salary-vs-wage

The Cisco Umbrella rank of the primary domain is #823,780 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

0
Risk Score

Legitimate careers blog article on AJobThing's long-established domain. No forms, no brand impersonation, no threat-intelligence or malware signals. Safe to read.

Safety Factors (5)
Established domain with over 10 years of registration history
Self-branded site: page branding matches its own domain, no impersonation of another entity
No forms, no login, no payment collection on the page
No indicators of compromise, malware, phishing kits or suspicious network activity
Content is ordinary HR/careers editorial material consistent with a job platform's blog
Domain age information unavailable

Details

Page Title

Salary vs. Wage: Which Pay Structure Attracts the Best Talent?

Scan Type

public

Domain Name Analysis

Domain 'www.ajobthing.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'ajobthing' covers 9 characters holding 3 vowels versus 6 consonants. Segmentation suggests 3 words: a, job, thing. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

AG) THING Product Pricing Help Be Seen, Be Valued Home / Resources / Blog / Salary vs. Wage: Which Pay Structure Attracts the Best Talent? & ae AY Salary vs. Wage: Which Pay Structure Attracts the...

Page Load Overview

7.82s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,629 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism40% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
40%
government public service
33%
corporate business
32%
news/blog
20%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.18.19.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.18.107Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
313.226.244.41Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.228.26.33Aws · CLOUDSingapore, Singapore
AS16509Amazon.com, Inc.
3104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.20.45.248Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
313.226.244.111Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.215.243.131Aws · CLOUDSingapore, Singapore
AS16509Amazon.com, Inc.
318.140.122.80Aws · CLOUDSingapore, Singapore
AS16509Amazon.com, Inc.
3104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7921--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14594083A9A15103FBC27E1E8C1E4BE9CB11A7194DA7607F9FC6660006FD3AF91967B10

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:acghehhGkA25sG8KjfOZZSRC419jYro+Ch4iSEzc9GKYsQHoghehhGkA15sG8KjE:jjucI8jW/9mlu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:420413:AFCCCgSEIJSnDQBCQDiQiDRhjgCSIgEBIkOEkKUmogMK0SFlFFIqgBrckRMLwsYOxA4sAFMOQgGgwDUISAI6CxoA46B8IFBp

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:ff87878f87c7fffe
Perceptual Hash:be3ec1c3d9c93032
Difference Hash:522e3f3e2f2e323a
Wavelet Hash:fb8383878783cb8a
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data