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

Redirected to:
https://www.intercom.com/admins/sign_in
Submitted: May 9, 2026, 7:47:31 PMCompleted: May 9, 2026, 7:49:06 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is intercom.com and was registered NaN years ago.

Submitted URL: https://scqsfzqy-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 403 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

Bot Protection Detected

This website is protected by aws_waf bot protection. Our scanner was challenged or blocked during access.

Page Title

ERROR: The request could not be satisfied

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

documentation technical

(68%)

Domain Information

Domain 'scqsfzqy-ios.mobile-messenger.intercom.com' uses the commercial generic top-level domain (.com) with subdomain 'scqsfzqy-ios.mobile-messenger'. The core label 'intercom' covers 8 characters with 3 vowels and five consonants. Tokenizing the label suggests one word: intercom. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.74s
Total Load Time
4
HTTP Requests
2
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:553 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical68% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
68%
technology software
44%
cryptocurrency blockchain
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
234.226.114.70Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
2108.138.26.21United States
AS16509Amazon.com, Inc.
42--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D611F72FA888341312033210EFC9FB28B20612FFA0344108B09440DF21DE3A8DFF26C1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hMiHksq+Me57SaQSorcUezjIykgxQ4rlO7/88:Dq+t5qI7xQ4a88

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:923:AAAAAAAABAAAAAAAAAAIAAAAAAAIAAAAAAAAAABEAAAIAACAAogBAAAAAAgQAAABAAgAAACAAAAAAAAAAAAAAAAAAEAAEAAA

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:0703ffffffffffff
Perceptual Hash:87070303c1edcddf
Difference Hash:ccec000000000000
Wavelet Hash:00003f3f0f0f0f0f
Color Hash:#bf4082

Other Hashes

Crop Resistant:ccec000000000000

Scan History

Scan history not available

Unable to load historical scan data