Security Scan Report: qs976j62-ios.mobile-messenger.intercom.com

Redirected to: https://www.intercom.com/admins/sign_in

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Submitted: Mar 3, 2026, 2:24:36 PMCompleted: Mar 3, 2026, 2:25:28 PMpubliccompleted
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Summary

This website contacted 12 IPs in 2 countries across 12 domains to perform 1 HTTP transaction. The main domain is intercom.com and was registered NaN years ago.

Submitted URL: https://qs976j62-ios.mobile-messenger.intercom.com

Effective URL: https://www.intercom.com/admins/sign_inRedirected

The Cisco Umbrella rank of the primary domain is #6,337 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Customer messaging apps for sales, marketing, and support

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

technology software

(42%)

Domain Information

The domain 'qs976j62-ios.mobile-messenger.intercom.com' uses the commercial generic top-level domain (.com) and includes subdomain 'qs976j62-ios.mobile-messenger'. Its registrable label 'intercom' stretches across 8 characters with three vowels and five consonants. It segments into 1 word: intercom. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://qs976j62-ios.mobile-messenger.intercom.com

Page Load Overview

5.00s
Total Load Time
155
HTTP Requests
15
Domains
1.4 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
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:3,337 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software42% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
42%
corporate
35%
education learning
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2313.33.187.2New York, New York, United States
AS16509Amazon.com, Inc.
1223.67.142.205Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
12100.31.232.201Germany
1218.97.36.4Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
12108.138.26.19United States
AS16509Amazon.com, Inc.
1234.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
1265.9.175.117Germany
12151.101.194.217Germany
12216.58.206.40GermanyUnknown
1223.50.131.146GermanyUnknown
15512--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10024192575144C3EB12347E660F5B72DA0664029EA024DCCF2AFC954CBDFBAE2783B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CU0PKXfXELyHmQ3jg0hdbrhqjEteLZDa35HtW:CU0PKXfXELyHmQ3xrhqjEteLZW0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:228557:ESkAhtABOuAxQEMAqMApW04JiBoqGsfI3ASE6o+DgSoQBCNJOItCARYATSQttIfCUVAEKg4wgSQQgA4gA3SBYYCOCFCAETaY

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:feffe7c7e7ffc3ff
Perceptual Hash:f754ccd87332c4c8
Difference Hash:e8004c4c0c160e08
Wavelet Hash:1cfee2c2c2c283e7
Color Hash:#e0a06c

Other Hashes

Scan History

Scan history not available

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