Security Scan Report: d97m90f7-ios.mobile-messenger.intercom.com

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

Submitted: Jan 25, 2026, 4:31:28 PMCompleted: Jan 25, 2026, 4:32:16 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 1 HTTP transaction. The main domain is intercom.com and was registered NaN years ago.

Submitted URL: https://d97m90f7-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: 96%

0
Risk Score

Legitimate Intercom page with no security concerns.

Safety Factors
Established domain owned by Intercom
Final URL points to official Intercom admin sign‑in page
No suspicious redirects beyond a single legitimate redirect
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

Customer messaging apps for sales, marketing, and support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(42%)

Domain Information

Within the commercial generic top-level domain (.com), 'd97m90f7-ios.mobile-messenger.intercom.com' is registered, featuring subdomain 'd97m90f7-ios.mobile-messenger'. Count 8 characters in 'intercom' holding three vowels versus five consonants. Tokenizing the label suggests one word: intercom. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://d97m90f7-ios.mobile-messenger.intercom.com

Page Load Overview

5.08s
Total Load Time
143
HTTP Requests
14
Domains
1.3 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:3,213 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

technology software
42%
education learning
35%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
1313.33.187.16Germany
1323.210.118.178Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1354.160.47.248Germany
1334.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
13172.217.208.97United States
AS15169Google LLC
1318.97.36.0Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
13108.138.26.21United States
AS16509Amazon.com, Inc.
13216.58.206.46United States
AS15169Google LLC
1365.9.175.85GermanyUnknown
14311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17124192575144C3EB12347E660F5B72DA0664029EA024DCCF2AFC954CBDFBAE2783B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CU0PpXfXELyHmQ3jg0hdWrhqjENpkZDa35BtW:CU0PpXfXELyHmQ3MrhqjENpkZ60

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226670:COYjijXGCFKaAY0l8AAFIOMQLWLDEAoJMAAIjGwwBhoGpVs2QiRpBBJFpIUJUY4gwQIiKFJFQhCGVzBphBGUFAMISWABCUCH

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:#d29579

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data