Security Scan Report: dagim.app

Redirected to:
https://dagim.app/login
Submitted: Apr 25, 2026, 5:43:10 AMCompleted: Apr 25, 2026, 5:44:37 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 34 HTTP transactions. The main domain is dagim.app and was registered NaN years ago.

Submitted URL: https://dagim.app/

Effective URL: https://dagim.app/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

New, unranked site with a login form; high likelihood of credential phishing.

Risk Factors
Brand new domain (<7 days) with credential collection
Unranked domain increasing suspicion
Presence of a login form on a newly registered site
Domain age information unavailable

Details

Page Title

login | Dagim

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(46%)

Domain Information

The domain name 'dagim.app' uses the application-focused generic top-level domain (.app). Its registrable label 'dagim' stretches across 5 characters with two vowels and three consonants. Word splitting yields 2 words: da, gim. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dagim.app/

Page Load Overview

1.83s
Total Load Time
37
HTTP Requests
7
Domains
2.1 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
Text Length:186 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
46%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9216.24.57.1United States
AS397273Render
7142.251.127.84United States
AS15169Google LLC
765.8.131.9United States
AS16509Amazon.com, Inc.
7104.26.2.143Germany
7146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
375--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B43D855B414223AAC2B85E0D9C8B66CF126F182EE3695BAF58D0465FFC3FF61C93604

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:DvhnY3Zkg+WbQkGk70rGV4xksc64Jysq7vUDgyJvlM/K:rh4Zkkr7ebx/c64Jysq7vUDnn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55921:AR6lNIyiCgFDMQogLoA6EmAGhgDwMCTL6oJoJRRQ10QIUAEGRBXTgR1UPGKjwUyAYDEcIMgApIK8YmkYVBgShCIEQJUGZCjC

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:ffe7e7ffffe7e7fe
Perceptual Hash:f3cc6623d9668989
Difference Hash:102a0828324c4d30
Wavelet Hash:ffe7e2d8d8c0c0c0
Color Hash:#53ac7e

Other Hashes

Crop Resistant:102a0828324c4d30

Scan History

Scan history not available

Unable to load historical scan data