ScanMalware.com

Security Scan Report: client-e1g.pages.dev

Redirected to:
https://app.insertchat.com/auth/login?redirect=/
Site favicon
Submitted: May 9, 2026, 2:51:58 AMCompleted: May 9, 2026, 2:53:59 AMpubliccompleted
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Summary

This website contacted 16 IPs in 3 countries across 22 domains to perform 106 HTTP transactions. The main domain is app.insertchat.com and was registered NaN years ago.

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

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

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

The site hosts a login form on a newly created subdomain with no known reputation; while no malicious indicators are present, the unknown age and redirect warrant caution.

Risk Factors
Unknown subdomain age (could be brand‑new)
Unranked domain reputation
Redirect to a different domain
Safety Factors
Cross‑origin form posts to app.insertchat.com (legitimate SSO flow)
No credential exfiltration observed
No malicious IoC or JavaScript malware matches
No network IDS alerts
Domain age information unavailable

Details

Page Title

InsertChat

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain 'client-e1g.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'client-e1g'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Splitting it apart reveals one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

18.77s
Total Load Time
258
HTTP Requests
28
Domains
391 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:543 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service60% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
60%
documentation technical
57%
technology software
50%
social media network
46%
adult content
37%

Detected Features

Login Form
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18104.16.80.73United States
AS13335Cloudflare, Inc.
16142.251.156.119United States
AS15169Google LLC
16142.251.14.97United States
AS15169Google LLC
16142.251.20.156United States
AS15169Google LLC
16146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
16142.251.110.94United States
AS15169Google LLC
16216.239.34.36United States
AS15169Google LLC
1620.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
16157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
16172.66.169.73United States
AS13335Cloudflare, Inc.
25816--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F24339253010712A55238E94B2E4FD49F443F30BE969E8E1F1DE23B95FC2EE25D631A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CS0M/A1HuJxL2B/hRW4qiIXA/a5KM4eSQBQB0dA2DAQkhN79V:CS//AxuSJvqiIXA/a5KM4LQkhN79V

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57113:o2AoQPDGQDAsfOFkEUPYUiWqA4AAoJeBKAbYaISELE6BgiAb0EaxBgRgiAPkDAqm0SgEAADAgMTRyMDBjakgaIhgAimANKQK

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:c1c13e3c9bc3e13c
Difference Hash:9839cac8b8c8c838
Wavelet Hash:0000686f6c68600f
Color Hash:#6240bf

Other Hashes

Crop Resistant:a280968ec68280a2,9839cac8b8c8c838

Scan History

Scan history not available

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