Security Scan Report: ascendstaffing.com

Redirected to:
https://www.ascendstaffing.com/
Site favicon
Submitted: Oct 1, 2026, 2:33:26 AMCompleted: Oct 1, 2026, 2:34:42 AMpubliccompleted

This website contacted 30 IPs in 2 countries across 17 domains to perform 238 HTTP transactions. The main domain is ascendstaffing.com and was registered 31 years ago.

Submitted URL: https://ascendstaffing.com

Effective URL:

https://www.ascendstaffing.com/
Redirected

The Cisco Umbrella rank of the primary domain is #785,720 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Ten-year-old staffing company site self-branding as Ascend Staffing with no forms, no malware, and no real threat-intel hit; the lone match is a generic abuse-reputation tag on a third-party Wix IP.

Safety Factors (6)
Established domain with ~10 years of registration history
Site presents its own brand (self-branding) on a matching domain
Zero forms, zero password/payment fields on the page
No YARA malware patterns, no known malicious kits, no network IDS alerts
No cross-origin credential exfiltration detected; outbound requests are standard analytics/CDN/Wix and Google services
Business entity indicators present with public-facing location and history content
Domain age information unavailable

Details

Page Title

Ascend Staffing

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'ascendstaffing.com' is registered with no subdomain. The core label 'ascendstaffing' covers 14 characters with four vowels and 10 consonants. Segmentation suggests 2 words: ascend, staffing. Average segment length settles at 7 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ascendstaffing.com

Page Load Overview

6.09s
Total Load Time
2.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:8,328 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism55% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
55%
government public service
42%
corporate business
28%
adult content
25%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3534.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7185.230.63.107Ashburn, Virginia, United States
AS58182Wix.com Ltd.
7142.251.14.97Google · CDNUnited States
AS15169Google LLC
765.8.131.77Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
732.199.2.22Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
734.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
734.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
7151.101.194.217Fastly · CDNUnited States
AS54113Fastly, Inc.
723.194.190.166Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7172.66.133.124Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
23830--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B7B52A50B2CA0C3EA797B17DE25156DC2A817821DFF242A5FE677F12E6DBB900173608

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:vdzp22iskHoAxNtITm1IsaAeGUooKUYCsmx1vxcxxzY38yUGMAGmieoNlxXxyIe3:vdYTtITmBcEW4gI8AQnZtPE+Go

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2432179:MHTJkAWiIAUwGAgxuAJDmunAjNUBxQAQjAsLCeKgS4IKgENIiOADMQDiVIHTABKI6JQmIQQqQCBoECELREGKZDIQIlAFwDzR

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data