ScanMalware.com

Security Scan Report: client-e1g.pages.dev

Redirected to:
https://app.insertchat.com/auth/login?redirect=/
Site favicon
Submitted: May 4, 2026, 2:25:15 AMCompleted: May 4, 2026, 2:27:09 AMpubliccompleted
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Summary

This website contacted 17 IPs in 3 countries across 22 domains to perform 128 HTTP transactions. The main domain is app.insertchat.com and was registered NaN years ago.

Submitted URL: http://client-e1g.pages.dev/

Effective URL: https://app.insertchat.com/auth/login?redirect=/Redirected

AI Security Verdict

Moderate Risk

Confidence: 88%

5
Risk Score

High risk site impersonating InsertChat with a login form on an unknown subdomain; likely a phishing attempt.

Risk Factors
Unranked domain combined with brand impersonation
Unknown subdomain age on a hosting platform
Credential collection on a domain that does not match the brand
Use of a generic hosting subdomain to host a login page
Safety Factors
Cross‑origin form submission targets the official InsertChat domain (possible legitimate SSO)
Established domain (2069 days old) with no strong malicious indicators — risk clamped from 8 to 5
Domain age information unavailable

Details

Page Title

InsertChat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(63%)

Domain Information

The domain name 'client-e1g.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'client-e1g'. The second-level label 'pages' is 5 characters long with 2 vowels and 3 consonants. Word splitting yields one word: pages. Average segment length settles at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://client-e1g.pages.dev/

Page Load Overview

11.92s
Total Load Time
289
HTTP Requests
28
Domains
346 KB
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
Text Length:595 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical63% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
63%
government public service
62%
social media network
59%
technology software
55%
blog personal website
44%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1720.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
17146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
17104.20.19.245United States
AS13335Cloudflare, Inc.
17142.251.127.84United States
AS15169Google LLC
17188.114.97.3United States
AS13335Cloudflare, Inc.
17142.251.110.156United States
AS15169Google LLC
17188.114.96.3United States
AS13335Cloudflare, Inc.
17157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
17146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
17104.16.80.73United States
AS13335Cloudflare, Inc.
28917--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1154329253410652A55234F90B2E4FC49E883F30BED6AD4E1F1DE23B55FC2EE25D631A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CSeh/LQkoHuJxqWkYtsN/h4ZYjF3LxqcSQBQBEdA2Dlrq7Tf:CSA/LQkgu0YtsqYjF3Lxqqrq7Tf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58153:uOhUYAAuAGAQgAAUTEUoCABJKAy4RQQDNECWWVYSDEENMJbJTAMBYDESaAwQYQKqGWQZwEvcY1DBuckgHg3IpAABKJgLEFQA

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:0000606f08606000
Perceptual Hash:c1c13e3c9ec3e13c
Difference Hash:d83dcac8b8ccc838
Wavelet Hash:0f0f6d6f6c68600f
Color Hash:#40bfbf

Other Hashes

Crop Resistant:a280968686928082,d83dcac8b8ccc838

Scan History

Scan history not available

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