Security Scan Report: autoglasscrm.slack.com

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Submitted: Jun 4, 2026, 3:26:11 AMCompleted: Jun 4, 2026, 3:27:18 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is autoglasscrm.slack.com and was registered NaN years ago.

Submitted URL: https://autoglasscrm.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: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #1,372.

Safety Factors
Well-established domain (ranked #1,372)
No forms or interactive credential elements
No IoC, YARA, or IDS alerts
Domain age information unavailable

Details

Page Title

Slack

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'autoglasscrm.slack.com' uses the commercial generic top-level domain (.com) with subdomain 'autoglasscrm'. Its registrable label 'slack' stretches across 5 characters split between 1 vowel and four consonants. Breaking it apart gives 1 word: slack. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.89s
Total Load Time
24
HTTP Requests
4
Domains
578 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

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.18.87.42United States
AS13335Cloudflare, Inc.
83.68.124.95Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
818.64.211.109United States
AS16509Amazon.com, Inc.
243--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163048F5B3964570EDADB83189AA27E897920A89FFD731DECF14C43340BCD7E24E1560A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MkleBWZagNDmO5FAz1n18nsr0YN5U0IB87ixqxgcOM:Be5Dzmt9HxqZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173432:ZUBpioEWDJwoLxgApIonwOAAsCYwAYbEFKgDmAYGsETC4VIE6+MxmghMMOOYCQpCBo8gRAAQDtoIkhwHKRgQUdsgAkAlXsCJ

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:183c1c181c380000
Perceptual Hash:cc9933cc3366cc33
Difference Hash:3232323232303008
Wavelet Hash:3c3c3c3c3c3c3c00
Color Hash:#4059bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data