Security Scan Report: studentaid.gov

Submitted: Dec 21, 2025, 3:03:28 PMCompleted: Dec 21, 2025, 3:05:21 PMpubliccompleted
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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 studentaid.gov and was registered NaN years ago.

Submitted URL: https://studentaid.gov/h/apply-for-aid/fafsa

The Cisco Umbrella rank of the primary domain is #18,886 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site; no security concerns detected.

Safety Factors
Established government domain (studentaid.gov)
Well‑ranked and long‑standing domain
No credential‑harvesting or payment collection elements
Domain age information unavailable

Details

Page Title

studentaid.gov

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(84%)

Domain Information

The domain 'studentaid.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'studentaid' spans 10 characters containing 4 vowels alongside six consonants. It segments into two words: student, aid. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://studentaid.gov/h/apply-for-aid/fafsa

Page Load Overview

52.02s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
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:77 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
education learning
68%
government public service
62%
government
48%
documentation technical
47%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
288.221.169.136Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:KfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszP2bMy8OldX:RhoC9JSqzzbs6o3Sj3gcrsr2eAp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184516:0tgEgF0AUosLKZqARAIgKKAAQRyZUsSpgGRhAIwgCArdEwYAZItCy5QJDg4rJCJK0PAGgAAUUaSxGASCACSWF1IwIa2BQkAA

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:7f7f03003fffffff
Perceptual Hash:bf03c0c46c3e7393
Difference Hash:c0c05b1760000000
Wavelet Hash:7f7f000010f03030
Color Hash:#867d2d

Other Hashes

Crop Resistant:c0c05b1760000000

Scan History

Scan history not available

Unable to load historical scan data