Security Scan Report: aadchat.slack.com

Submitted: Jan 19, 2026, 10:27:56 PMCompleted: Jan 19, 2026, 10:29:19 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 25 HTTP transactions. The main domain is aadchat.slack.com and was registered NaN years ago.

Submitted URL: https://aadchat.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: 96%

0
Risk Score

Legitimate Slack workspace sign‑in page; no security concerns detected.

Safety Factors
Official brand subdomain
Long-established domain
High Cisco Umbrella ranking
No suspicious form fields
No Indicators of Compromise
Domain age information unavailable

Details

Page Title

Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(92%)

Domain Information

Domain 'aadchat.slack.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'aadchat'. The second-level label 'slack' is 5 characters long with one vowel and four consonants. Splitting it apart reveals 1 word: slack. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

13.96s
Total Load Time
44
HTTP Requests
4
Domains
9.3 MB
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:670 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software92% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
92%
social media network
81%
documentation technical
65%
corporate business
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2299.84.152.46United States
AS16509AMAZON-02
2252.29.238.212Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
442--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18153B66665580C4F84B711F04B57BF09A6E6B04BD3890AD0B19C8A361B9BF9CF712F8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:EE2N8wGXAD1azdpEZTB2pMlKl99h6MfhXBScDAnIKBv37NZCDGVQMsGG:yN8NAB8dpEZTBQN9hzKBvvA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61713:KVF8sMhoABwKOgKDkzhGhaEAUIWASiKyCAjAMhGLAFM0AKDoEmYqHiIB2ntADHLFBc4COWQSAhEiaWAQBQI4BDAEB6dRjgJy

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:7e7e3e3e7e7e7f7f
Perceptual Hash:8007f8f00a1f0fff
Difference Hash:c080c0c0e08080c0
Wavelet Hash:7e7e3e000e4e4e4e
Color Hash:#a079d2

Other Hashes

Crop Resistant:c080c0c0e08080c0

Scan History

Scan history not available

Unable to load historical scan data