Security Scan Report: support.xpenderbydanskebank.com

Redirected to:
https://support.xpenderbydanskebank.com/en
Site favicon
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 2 countries across 8 domains to perform 30 HTTP transactions. The main domain is xpenderbydanskebank.com and was registered 5 years ago.

Submitted URL: https://support.xpenderbydanskebank.com

Effective URL:
https://support.xpenderbydanskebank.com/en
Redirected

AI Security Verdict

Safe Website

Confidence: 78%

1
Risk Score

Self-branded Xpender/Danske Bank help center on a 5-year-old domain with no credential or payment forms and no threat-intel, hunting rule or IDS hits. No malicious signals found.

Safety Factors (5)
Established 5-year-old domain with brand-consistent naming
No credential or payment collection on the page (0 password, 0 payment fields)
No Indicators of Compromise, hunting rule, IDS or kit-roster findings
Same-origin login path (/sso/agent/login) referenced only as a link, not a harvesting form
Well-formed support content with links to official brand and partner domains
Domain age information unavailable

Details

Page Title

How can we help you? | Xpender Help

Scan Type

public

Domain Name Analysis

Domain 'support.xpenderbydanskebank.com' uses the commercial generic top-level domain (.com) and includes subdomain 'support'. Its registrable label 'xpenderbydanskebank' stretches across 19 characters with five vowels and 14 consonants. Splitting it apart reveals 5 words: xp, enderby, dansk, e, bank. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://support.xpenderbydanskebank.com

Page Load Overview

2.93s
Total Load Time
622 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,546 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
48%
finance banking
48%
corporate business
41%
government public service
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
254.157.241.171Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
218.66.112.79Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.110.95Google · CDNUnited States
AS15169Google LLC
276.76.21.21Aws · CLOUDWalnut, California, United States
AS16509Amazon.com, Inc.
213.226.244.96Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.110.94Google · CDNUnited States
AS15169Google LLC
232.194.51.4Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2212.93.61.102Denmark
AS12483Den Danske Bank A/S
234.224.144.42Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
218.66.112.95Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3015--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16C74F973512120393013DD59AEB36FDC30247002EA41B775B9FE76D88FEEAA8DD95268

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:5Ao69CYnpQ+6T4Z+QgCvSpDO/DpN0zzKvaa+nHe+N:b69CYpQ+6T4Z+QgCvSEN0z+Ca+nHZN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:345743:eAjAHAIsiKBThRgAOFNBCCQpgBJBJGRowMEPTJeEAFBAIrFhwiUhQATJTFAy8YLXhIMGOEqiArMQhjAEeBDBhgKwgHSmgCRo

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:00ffffffffff0000
Perceptual Hash:e8bc42d62c7c9556
Difference Hash:e41000175500cdcd
Wavelet Hash:00e7ff81ffff0000
Color Hash:0f001c00040

Scan History

Scan history not available

Unable to load historical scan data