Security Scan Report: mysdlgo.com

Redirected to:
https://mysdlgo.com/login
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Submitted: May 5, 2026, 3:27:17 AMCompleted: May 5, 2026, 3:28:54 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 29 HTTP transactions. The main domain is mysdlgo.com and was registered NaN years ago.

Submitted URL: https://mysdlgo.com/

Effective URL: https://mysdlgo.com/loginRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

New unranked domain mimicking a Google login page to harvest credentials – confirmed phishing scam.

Risk Factors
Brand impersonation (Google) on unranked domain
New domain (<7 days) with credential collection form
Login form without any legitimate backing
Domain mismatch with displayed brand
Lack of reputable ranking or reputation
Domain age information unavailable

Details

Page Title

login | SDL GO

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(49%)

Domain Information

Within the commercial generic top-level domain (.com), 'mysdlgo.com' is registered while skipping any subdomain. Count 7 characters in 'mysdlgo' split between one vowel and six consonants. Breaking it apart gives three words: my, sdl, go. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mysdlgo.com/

Page Load Overview

3.46s
Total Load Time
38
HTTP Requests
7
Domains
295 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:188 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
49%
government public service
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10146.75.120.176Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
7142.251.127.84United States
AS15169Google LLC
765.8.131.22United States
AS16509Amazon.com, Inc.
7104.26.2.143United States
AS13335Cloudflare, Inc.
7216.24.57.1United States
AS397273Render
385--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B43E855B814223AAC2785E0D9C8B66CF126F182EE3694FAF58D0425EFC3FF61C97614

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:DLYEujhnY3Zkg+WbQkGk70rGV4xksc64Jysq7vqDyyJvlM/u2:4nh4Zkkr7ebx/c64Jysq7vqDNa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56240:oCACIQwgQjgGFQYoDMAVJYwcIAiIRj7eZVJIQgBBCgLCCBuDN+AVABA1hQGKgGQ0ISCApJKGtsEDEkIYSACgHiIEwJiAKwoY

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:ffffe7ffffe7e7fe
Perceptual Hash:f3c86623d866d989
Difference Hash:102a0828324c4d30
Wavelet Hash:fffbe0d8d8c0c0c0
Color Hash:#c587c3

Other Hashes

Crop Resistant:102a0828324c4d30

Scan History

Scan history not available

Unable to load historical scan data