Security Scan Report: go.slack.com

Site favicon
Submitted: Jan 12, 2026, 2:40:42 AMCompleted: Jan 12, 2026, 2:45:37 AMpubliccompleted
Loading additional data...

Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 157 HTTP transactions. The main domain is go.slack.com and was registered NaN years ago.

Submitted URL: https://go.slack.com

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is a legitimate Slack subdomain with no security concerns.

Safety Factors
Official Slack subdomain
Well‑established domain with minimal risk level
No redirects or suspicious content
Domain age information unavailable

Details

Page Title

Slack | AI Work Platform & Productivity Tools

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(54%)

Domain Information

Within the commercial generic top-level domain (.com), 'go.slack.com' is registered and includes subdomain 'go'. The core label 'slack' covers 5 characters containing one vowel alongside 4 consonants. Breaking it apart gives one word: slack. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://go.slack.com

Page Load Overview

96.97s
Total Load Time
157
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:11,221 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
54%
documentation technical
43%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4052.29.238.212Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
3999.84.152.42United States
AS16509AMAZON-02
3918.159.197.225Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
39104.18.87.42United States
AS13335CLOUDFLARENET
04--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A346172B818121581570AC5BB746F0EF1FBF66BD796A0C2EAAD42107BD9CBF3905C18

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:OZsr3qKVsD5wS2Ru72VSNs8pBv8h9CwVUvxxdQbplJU78bcmeCMTlTUd8bcMeCME:OZUV/ufCxo4b471xPTXOmIs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:234700:gEGAYwgk7exQCVTAIFD0RBMDFYBJFbELQADXSKJUpIAFQBIJmBqBgYUsJKJCoPIbWWIhyomYDACDIMcwSHLbIZGI0wECyMln

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:7f3f3f3f3f1f3f00
Perceptual Hash:8fe060fc60fc609f
Difference Hash:c040606060706051
Wavelet Hash:3e3e3e3e1e1e1e00
Color Hash:#89e06c

Other Hashes

Crop Resistant:c040606060706051

Scan History

Scan history not available

Unable to load historical scan data