Security Scan Report: students-residents.aamc.org

Submitted: Oct 31, 2025, 12:34:02 AMCompleted: Oct 31, 2025, 12:35:10 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is students-residents.aamc.org and was registered NaN years ago.

Submitted URL: https://students-residents.aamc.org/financial-aid-resources/public-service-loan-forgiveness-pslf

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate; 403 error is likely access restriction, no security threats detected.

Safety Factors
Well‑established domain (registered since 1993)
No malicious Indicators of Compromise detected
No credential or payment collection fields present
Domain is associated with a reputable organization (AAMC)
Domain age information unavailable

Details

Bot Protection Detected

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

Page Title

403 Forbidden

Scan Type

public

Language

🇩🇰

Danish

(35% confidence)

Category

malicious

(67%)

Domain Information

The domain name 'students-residents.aamc.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'students-residents'. Count 4 characters in 'aamc' holding 2 vowels versus 2 consonants. It segments into 2 words: a, amc. Median word length comes out to two characters. The linguistic tilt is Hungarian for 'a'. You will also see it in Portuguese and Galician contexts.

Screenshot

Security scan screenshot of https://students-residents.aamc.org/financial-aid-resources/public-service-loan-forgiveness-pslf

Page Load Overview

3.09s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇰Danish
Code: da
Confidence:35%
Script:Latin
Direction:ltr

Detection Details

Language Code:da
Detection Confidence:35%
Script Type:Latin
Text Length:132 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious67% confidence
Type: static
Method: ml+structural

All Detected Categories

malicious
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.133Frankfurt am Main, Hesse, Germany
AS54113FASTLY
21--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAD02B1BDAAD088E638372800AC4ABC00D4DC217490F48437B0446379F05138C4C77D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxAIgsoaAEdpsLBgs0jVsbiXcnzob1arbl3TEHKqz:kxxgsoaAEdeBgs0psbiX08bUrbljs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:6d03ca707efd0d4f642a62d6c5a7cea0

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:3f00ffffffffffff
Perceptual Hash:81010303079fffff
Difference Hash:c0c0000000000000
Wavelet Hash:3d00fcfc00000000
Color Hash:#4062bf

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data