Security Scan Report: api-iam.intercom.io

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

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Submitted: Dec 5, 2025, 6:14:48 AMCompleted: Dec 5, 2025, 6:17:04 AMpubliccompleted
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Summary

This website contacted 60 IPs in 2 countries across 14 domains to perform 145 HTTP transactions. The main domain is intercom.com.

Submitted URL: https://api-iam.intercom.io/

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

The Cisco Umbrella rank of the primary domain is #916 of the top 1 million websitesTop 1K Site

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is the legitimate Intercom domain with no security concerns.

Safety Factors
High reputation domain (top 1K in Cisco Umbrella)
Official brand domain with no suspicious redirects
Domain age information unavailable

Details

Page Title

Customer messaging apps for sales, marketing, and support

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

You're looking at domain 'api-iam.intercom.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'api-iam'. Count 8 characters in 'intercom' containing 3 vowels alongside five consonants. Splitting it apart reveals 1 word: intercom. Median word length is 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api-iam.intercom.io/

Page Load Overview

1.67s
Total Load Time
145
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

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
106108.138.26.19United States
AS16509AMAZON-02
2754.88.132.187Ashburn, Virginia, United States
AS14618AMAZON-AES
1118.97.36.38Ashburn, Virginia, United States
AS14618AMAZON-AES
7104.18.86.42United States
AS13335CLOUDFLARENET
413.33.187.2New York, New York, United States
AS16509AMAZON-02
434.120.195.249Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
23.174.46.72United States
AS16509AMAZON-02
23.174.46.92United States
AS16509AMAZON-02
2108.138.26.84United States
AS16509AMAZON-02
265.9.175.29United States
AS16509AMAZON-02
14560--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11754081639145C2EF25387D960E1B719B422442AFD2348CCF29ED774CBDE7EA1E42B4A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mU0PAXfXELyHmQ3jg0hdWrhqjEMQUp8ZOa35+Rt0:mU0PAXfXELyHmQ3MrhqjEMQUp8Z+2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278745:kABQABcssgVCIGAwCXzxIOJAMAMiAtBMCQAEAOkBbkIcRMpARwmTAW4IORChMeQIDAAIcAIUgDJFgAAuWGQL1EjIeBLXamPF

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:feffe7e7e7ff031f
Perceptual Hash:b7d09cc83762dc8c
Difference Hash:e8004c4c4c160e68
Wavelet Hash:1cfee2c2c6cf0307
Color Hash:#64d22d

Other Hashes

Scan History

Scan history not available

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