Security Scan Report: jobs.uhsinc.com

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Submitted: Sep 26, 2026, 9:43:06 AMCompleted: Sep 26, 2026, 9:44:04 AMpubliccompleted

This website contacted 42 IPs in 3 countries across 25 domains to perform 80 HTTP transactions. The main domain is jobs.uhsinc.com and was registered 5 years ago.

Submitted URL: https://jobs.uhsinc.com/the-northern-nevada-health-system-events/jobs/364554

The Cisco Umbrella rank of the primary domain is #290,076 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate UHS corporate careers page on jobs.uhsinc.com. No forms, no impersonation, no Indicators of Compromise; the site is the brand's own official recruitment portal.

Safety Factors (5)
Established 29-year-old domain owned by UHS on its own careers subdomain
Paginated page belongs to the brand it displays (self-branding, not impersonation)
Zero forms, no credential or payment capture
No threat-intel, YARA, IDS, or JS anomalies
Legitimate ATS/job-board infrastructure (TalentPlatform, Jibe CDN)
Domain age information unavailable

Details

Page Title

Registered Nurse (RN) - Full Time- Day: Psychiatric Intensive Care Unit in AUBURN HILLS, Michigan | the-northern-nevada-health-system-events

Scan Type

public

Domain Name Analysis

The domain name 'jobs.uhsinc.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'jobs'. Its registrable label 'uhsinc' stretches across 6 characters with two vowels and four consonants. Breaking it apart gives 3 words: uh, s, inc. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jobs.uhsinc.com/the-northern-nevada-health-system-events/jobs/364554

Page Load Overview

4.45s
Total Load Time
6.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,367 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service69% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
69%
phishing scam
57%
healthcare medical
51%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
393.222.210.226Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
113.32.121.68Cloudfront · CDNNew York, New York, United States
AS16509Amazon.com, Inc.
1142.251.13.97Google · CDNUnited States
AS15169Google LLC
134.90.229.206Google · CDNGroningen, Groningen, Netherlands
AS396982Google LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
13.167.227.87Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
1104.18.1.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
8042--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A405E79297C10472DB920A8A742A3F4B3DBD413B57421C84B4DCCA5C52FEAAF532766F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:4EfEozTPTuT6RN4AGh2SXSE3EeEfE0E3EjEfEGhp:nRu5p

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:870307:XVbUJaSQEgEEVMKIUAERmgEweEugoeaI4gBsoBAAI9EkhK51hCWwzDiBjQCoZgNAQMCIMdxESpqU6kMIASEgADkEiSECIiQB

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:ff000000ffffffff
Perceptual Hash:a80e96f9cd16a9c9
Difference Hash:22238165129a381a
Wavelet Hash:80000000fbffffff
Color Hash:#539fac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data