ScanMalware.com

Security Scan Report: sansign-login.app

Redirected to: https://meine.santander.de/login/#/login/

Submitted: Mar 16, 2026, 5:58:45 AMCompleted: Mar 16, 2026, 6:00:04 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 11 domains to perform 1 HTTP transaction. The main domain is meine.santander.de.

Submitted URL: http://sansign-login.app/

Effective URL: https://meine.santander.de/login/#/login/Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Phishing page harvesting Santander passwords; do not enter credentials and report the site.

Risk Factors
Brand impersonation of Santander on unranked domain
New domain (<7 days) with login form
Password‑only field (credential harvesting pattern)
Cross‑origin credential submission to official domain
High‑severity IDS alert indicating phishing
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

Login MySantander

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

finance banking

(59%)

Domain Information

Within the application-focused generic top-level domain (.app), 'sansign-login.app' is registered with no subdomain. Its registrable label 'sansign-login' stretches across 13 characters holding 4 vowels versus 8 consonants, along with 1 hyphen. Splitting it apart reveals three words: san, sign, login. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sansign-login.app/

Page Load Overview

2.42s
Total Load Time
116
HTTP Requests
14
Domains
1.0 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:618 chars
Detector Agreement:50%

Website Classification

Primary Category

finance banking59% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2091.235.133.67United States
AS30286ThreatMetrix Inc.
12142.251.37.8United States
AS30286
1235.241.3.184Kansas City, Missouri, United States
AS396982Google LLC
1235.190.14.188United States
AS396982Google LLC
1245.60.197.69United States
AS19551Incapsula Inc
12192.0.78.26United StatesUnknown
12172.67.184.16United States
AS13335Cloudflare, Inc.
1291.235.134.131United States
AS30286ThreatMetrix Inc.
1291.235.132.130United States
AS30286ThreatMetrix Inc.
1169--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A3B5B4F7681D773FE165151D21CF93172161AECBBE2010888C59EB89CF73D8A2AE246D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:E3aUDcHZcaA+glJjlSvWGMGFAv8UExck0fze/VDBqv6mc7rH66H6Rhp00Rx5K3OP:K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2334186:GSYBBngRUUJCoARQUDGIKImCBUJBNhKiMAtQI90SswAjJBJEgqhgDLkgyMiBAEQMwKoAURqUYDZOACzwKKCE0IQhqOB4QhEQ

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:3e9fffd383dfdf83
Perceptual Hash:bcc7833c2cc3c33c
Difference Hash:c030323636343a2e
Wavelet Hash:009edef2829fdf80
Color Hash:#8a53ac

Other Hashes

Crop Resistant:c030323636343a2e

Scan History

Scan history not available

Unable to load historical scan data