Security Scan Report: ofsach05-ios.mobile-messenger.intercom.com

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

Submitted: Jan 21, 2026, 3:26:40 PMCompleted: Jan 21, 2026, 3:27:29 PMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 11 domains to perform 60 HTTP transactions. The main domain is intercom.com and was registered NaN years ago.

Submitted URL: https://ofsach05-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

The site redirects to Intercom's official login page and shows no malicious indicators.

Safety Factors
Established domain registered in 1993
High Cisco Umbrella reputation
Legitimate brand domain in final redirect
Absence of suspicious forms or fields
No Indicators of Compromise 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

The domain 'ofsach05-ios.mobile-messenger.intercom.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'ofsach05-ios.mobile-messenger'. The registrable portion 'intercom' spans 8 characters split between 3 vowels and 5 consonants. It segments into 1 word: intercom. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ofsach05-ios.mobile-messenger.intercom.com

Page Load Overview

5.15s
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
13108.138.26.19United States
AS16509AMAZON-02
1334.160.81.0Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
1323.67.142.205Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1323.50.131.146Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
13142.251.141.142United States
AS15169GOOGLE
13100.25.57.118Germany
1318.97.36.30Germany
1313.33.187.102Germany
13146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
13216.58.206.40United States
AS15169GOOGLE
14311--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B724192575144C3EB12347E660F5B72DA0664029EA024DCCF2AFC954CBDFBAE2783B59

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CU0P5XfXELyHmQ3jg0hdWrhqjENpkZDa35LtW:CU0P5XfXELyHmQ3MrhqjENpkZA0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:226670:iUYwBgTYgIL4SjgIpKKAmIelBWIAiIKHNUIAywGYAAwggFAQfJwoLLAOQ2QXQQA6+jlgQMAhSZKNYIwMkAAF8RRoEEhhABEP

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:#d2a379

Other Hashes

Scan History

Scan history not available

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