Security Scan Report: personalloans.discover.com

Redirected to: https://www.discover.com/personal-loans/

Submitted: Mar 28, 2026, 7:46:12 PMCompleted: Mar 28, 2026, 7:47:52 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 19 domains to perform 79 HTTP transactions. The main domain is discover.com and was registered NaN years ago.

Submitted URL: https://personalloans.discover.com

Effective URL: https://www.discover.com/personal-loans/Redirected

The Cisco Umbrella rank of the primary domain is #19,373 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site is the legitimate Discover personal loans page with no malicious indicators.

Safety Factors
Official Discover domain (discover.com)
Long‑standing domain registration
Top‑ranked in Cisco Umbrella
No payment or credit‑card fields present
All external requests are to trusted third‑party services (e.g., Bazaarvoice, Google) commonly used for analytics
Domain age information unavailable

Details

Page Title

Online Personal Loans from $2,500 to $40,000 | Discover

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(87%)

Domain Information

The domain name 'personalloans.discover.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'personalloans'. Its registrable label 'discover' stretches across 8 characters split between 3 vowels and 5 consonants. Tokenizing the label suggests one word: discover. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://personalloans.discover.com

Page Load Overview

7.68s
Total Load Time
187
HTTP Requests
52
Domains
2.4 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:11,016 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking87% confidence
Type: webapp
Method: ml+structural

All Detected Categories

finance banking
87%
healthcare medical
75%
government public service
68%
adult content
65%
documentation technical
62%

Detected Features

Login Form
Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1123.197.138.28Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1123.52.181.12Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1123.21.177.35Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
1123.52.182.134Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1163.140.62.139United States
AS16509Amazon.com, Inc.
1191.235.133.112United States
AS30286ThreatMetrix Inc.
11108.138.7.85Unknown
1123.52.180.163Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1134.8.203.214Kansas City, Missouri, United States
AS396982Google LLC
113.161.82.75United States
AS16509Amazon.com, Inc.
18717--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T103C45CA57185343702D710A6A07F2609723B0A37940D8090F96ECAE92FBDECA5637F7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:3HGcC1Ku7dH7iX3y/KBnrgS/YZfTKnrZnk:3HGcnu7dH7iX3y/6rgS/YZfTKn9nk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:548569:FRwGEAEIgxKhYCJhVgCeDAhXJBwIOgUrN3MYBlCjFoYSDBFQCSgD0gEoJIWIDoZN1lUChdYBbgo6DCACAMAlAsAEyKwAOhgS

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:8181818181ffffff
Perceptual Hash:bf3bc1c03ac0663e
Difference Hash:3b1b0f0d1f0f072b
Wavelet Hash:8181818181e7ffff
Color Hash:#862d31

Scan History

Scan history not available

Unable to load historical scan data