Security Scan Report: www.anthemeap.com

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Submitted: Dec 23, 2025, 7:41:25 PMCompleted: Dec 23, 2025, 7:42:28 PMpubliccompleted
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Summary

This website contacted 43 IPs in 6 countries across 36 domains to perform 160 HTTP transactions. The main domain is anthemeap.com and was registered NaN years ago.

Submitted URL: https://www.anthemeap.com/learn/plan-finances/resources/saving-and-investing-for-college/articles/federal-student-loans

The Cisco Umbrella rank of the primary domain is #552,740 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Site appears legitimate but has many redirects and low ranking; proceed cautiously.

Risk Factors
Excessive redirects (29) may indicate tracking or redirection abuse
Low Cisco Umbrella ranking (552,740) for a well‑known brand
Safety Factors
Long‑standing domain registration (since 2002)
Absence of credential‑harvesting or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Federal Student Loans - LEARN EAP | Anthem

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(43%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.anthemeap.com' is registered with subdomain 'www'. The second-level label 'anthemeap' is 9 characters long split between four vowels and 5 consonants. Segmentation suggests 3 words: an, theme, ap. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.anthemeap.com/learn/plan-finances/resources/saving-and-investing-for-college/articles/federal-student-loans

Page Load Overview

8.82s
Total Load Time
160
HTTP Requests
36
Domains
1.3 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-US
Text Length:16,940 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
43%
education learning
36%
healthcare medical
30%
adult content
28%
government public service
28%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34108.128.50.48Dublin, Leinster, Ireland
AS16509AMAZON-02
3208.89.12.87United States
AS11054LIVEPERSON
323.53.43.59Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3172.67.75.205United States
AS13335CLOUDFLARENET
3104.18.26.193United States
AS13335CLOUDFLARENET
3104.18.27.193United States
AS13335CLOUDFLARENET
3198.47.127.205United States
AS62713AS-PUBMATIC
32.23.7.35Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
334.249.145.9Dublin, Leinster, Ireland
AS16509AMAZON-02
352.16.129.226Dublin, Leinster, Ireland
AS16509AMAZON-02
16043--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194F3D811B9E07023419751C662B16F15AB71D303C98699E8FDBC43F90FEBE26ED63219

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xeNgUY2nDyRUKCe+bC8rnHBJpaDqp+Bfi4vqAt8aOXky2c0kHQviX7XTezBturwO:xe62nDyGpa1B6NMCXTezK9sDfu7+s

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:165203:oGgEcCTAGoohQUMGAwKAgAED1LGkBALZiQ+HKR0IYyr/ICkWgYcEBieQIKaoYNJFAgZYFBwgSUCBCGDsgDUUQILDjoSUAAED

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:00ffdfc7cfcfcfc7
Perceptual Hash:bc4f4503372b0d2f
Difference Hash:2030323e3c3c3c1c
Wavelet Hash:00de9f87878f8786
Color Hash:#87c5b0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data