Security Scan Report: neighborsbank.slack.com

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Submitted: Jan 14, 2026, 11:28:51 PMCompleted: Jan 14, 2026, 11:30:23 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 1 HTTP transaction. The main domain is neighborsbank.slack.com and was registered NaN years ago.

Submitted URL: https://neighborsbank.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 workspace subdomain with no security concerns.

Safety Factors
Official Slack subdomain
High reputation ranking
Long domain age
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable

Details

Page Title

Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(87%)

Domain Information

The domain name 'neighborsbank.slack.com' uses the commercial generic top-level domain (.com), featuring subdomain 'neighborsbank'. The core label 'slack' covers 5 characters with 1 vowel and 4 consonants. Tokenizing the label suggests 1 word: slack. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

12.67s
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:674 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software87% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
87%
social media network
82%
finance banking
65%
documentation technical
60%
corporate business
44%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2299.84.152.9United States
AS16509AMAZON-02
223.68.124.168Frankfurt 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

T17E53BA6A96184C5F81E712A00A576F4E96A2B18BD3C44DD0B0AC4E3A1F9FE5CB711B4F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lA2N8wGXcD15HPbdprZTB1pMlKl99hCexUR4gBs3XIuoPNYJ5m9h0/GU:rN8NcBFPbdprZTBXN9hJXIb6h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61704:GIgAhggUihYDDgXlxAIwsKREHoIkMCiiCgDEIAJiwR/QNCRB2MdXyKNACLCDAevDSwIxpiQJUCIAeRQQFgYsABhOQo0hYmBJ

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:801fe0f0221f0fff
Difference Hash:c080e0e0c08080c0
Wavelet Hash:3e3e1e000e4e4e4e
Color Hash:#2d2d86

Other Hashes

Crop Resistant:c080e0e0c08080c0

Scan History

Scan history not available

Unable to load historical scan data