Security Scan Report: campaign.slackhq.com

Redirected to:
https://slack.com/
Site favicon
Submitted: Sep 20, 2026, 8:30:18 AMCompleted: Sep 20, 2026, 8:31:11 AMpubliccompleted

This website contacted 31 IPs in 2 countries across 17 domains to perform 149 HTTP transactions. The main domain is slack.com and was registered 15 years ago.

Submitted URL: https://campaign.slackhq.com

Effective URL:

https://slack.com/
Redirected

The Cisco Umbrella rank of the primary domain is #107,735 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Marketing redirect from Slack's own slackhq.com domain to the official slack.com. Genuine Slack content, no forms, no threats — legitimate brand-owned page.

Safety Factors (4)
Redirect destination is the official brand domain slack.com, established and highly ranked (#2620 in Cisco Umbrella top 1M)
No credential, login, or payment collection on the page
Consistent, legitimate vendor content and third-party CDN/analytics infrastructure (cloudfront, optimizely, onetrust)
Cross-domain redirect from slackhq.com (Slack's corporate/vanity domain) is an ordinary marketing redirect
Domain age information unavailable

Details

Page Title

Slack | AI Work Platform & Productivity Tools

Scan Type

public

Domain Name Analysis

Domain 'campaign.slackhq.com' uses the commercial generic top-level domain (.com) and includes subdomain 'campaign'. The core label 'slackhq' covers 7 characters holding one vowel versus six consonants. It segments into two words: slack, hq. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://campaign.slackhq.com

Page Load Overview

6.79s
Total Load Time
22.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:15,432 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
65%
documentation technical
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2952.29.238.212Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
434.237.219.119Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
43.68.170.153Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
418.64.211.109Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.18.87.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.208.125.13Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
43.68.175.98Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
418.64.211.34Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4104.18.86.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
418.64.211.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
14931--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14761C0BBA849C68E552085AEF133FAF498CEE5AB03C509B5750C45E39F0A3F1780852A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Dyrw8GbLdnH2rXGBjGnHouWGUFAS/SP9k:DyrwFn1Hl8HnPUqo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3407:AAQAAAQAAgMSCAoQIgAAChCBdAQAAhERgkAAKAIGAAoCDwoBBEAAAgAAAAKOAAARgEAICCEUAgAIAAA4gAQEQAAUIEEAABQh

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:fdc3c7efc3df9f1f
Perceptual Hash:b8e79c5cc3933264
Difference Hash:59170e4896b6b2bb
Wavelet Hash:80c3e7e7c31b1b0b
Color Hash:#4e783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data