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Security Scan Report: product-school.slack.com

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Submitted: Jan 16, 2026, 10:14:09 AMCompleted: Jan 16, 2026, 10:14:54 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 50 HTTP transactions. The main domain is product-school.slack.com and was registered NaN years ago.

Submitted URL: https://product-school.slack.com

The Cisco Umbrella rank of the primary domain is #1,372 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate Slack subdomain with no security concerns.

Safety Factors
Standard hosting with no IPFS or cloud‑storage involvement
Well‑established domain age reduces risk
High Cisco Umbrella ranking indicates reputable site
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce

(30%)

Domain Information

Within the commercial generic top-level domain (.com), 'product-school.slack.com' is registered with subdomain 'product-school'. Its registrable label 'slack' stretches across 5 characters with 1 vowel and four consonants. It segments into 1 word: slack. Median word length is 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://product-school.slack.com

Page Load Overview

1.51s
Total Load Time
26
HTTP Requests
4
Domains
573 KB
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:1,755 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce30% confidence
Type: dynamic
Method: structural

All Detected Categories

e-commerce
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
699.84.152.123Germany
AS16509
5104.18.87.42United States
AS13335CLOUDFLARENET
53.68.124.95Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
5146.75.120.106GermanyUnknown
53.68.170.153GermanyUnknown
265--

Detected Technologies4

OneTrust
60%
HTTP/3
40%
HSTS
40%
Envoy
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19833D788976C4C7E48AD21794A979F2BB2BB515B83C41AD0F198057157CFF28B30EF89

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:3kleBWZRUgv2Ne/wGX6aoqmOvUG7m51Gca9F+zF2xb0:3kleBWZazNCN01Gj2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52221:Q7ABZ1TGA6mZQCECSABQPm4gQYKDAOEFAkIwCEEs8B8Iz0HiWCEIBCGyiB6dMBByGBisktsTJAJwEsYIiA5SCkFClJAAPHDI

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#bf7940

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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