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Security Scan Report: www.benefeds.gov

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Submitted: Dec 4, 2025, 3:06:09 AMCompleted: Dec 4, 2025, 3:08:28 AMpubliccompleted
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Summary

This website contacted 61 IPs in 3 countries across 15 domains to perform 64 HTTP transactions. The main domain is benefeds.gov and was registered NaN years ago.

Submitted URL: https://www.benefeds.gov/

The Cisco Umbrella rank of the primary domain is #428,552 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Legitimate government site with minor redirect issue; low overall risk.

Risk Factors
Circular redirect detected (potential URL manipulation)
Low Cisco Umbrella ranking for a .gov domain
Safety Factors
Official .gov domain
Physical address displayed
No credential or payment forms present
No malicious Indicators of Compromise matches
Domain age > 1 year
Domain age information unavailable

Details

Page Title

BENEFEDS | Federal Benefits Enrollment (FEDVIP, FLTCIP, FSAFEDS)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(66%)

Domain Information

The domain 'www.benefeds.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Count 8 characters in 'benefeds' with 3 vowels and five consonants. Breaking it apart gives 2 words: bene, feds. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.benefeds.gov/

Page Load Overview

1.33s
Total Load Time
64
HTTP Requests
15
Domains
1.4 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:7,876 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service66% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
66%
healthcare medical
65%
education learning
53%
government
48%
e-commerce shopping
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3023.36.162.206Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8142.250.186.163United States
AS15169GOOGLE
6216.239.34.36United States
AS15169GOOGLE
5142.250.185.74United States
AS15169GOOGLE
452.208.202.19Dublin, Leinster, Ireland
AS16509AMAZON-02
4142.250.186.168United States
AS15169GOOGLE
223.52.180.163Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
2142.250.186.142United States
AS15169GOOGLE
23.174.46.89United States
AS16509AMAZON-02
118.66.102.106United States
AS16509AMAZON-02
6461--

Detected Technologies2

HSTS
40%
Akamai
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E4311F25700159A16D3DC8CA0E77E8AA176C9E5E30F4BA8B56C5D5D0FC2BE2A0D23D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:neR1p0OFoHn3XHs1+gjSiLI1wd/RCS7Sn7xLMqCSTziLMECSGzA5XnWByLiCYOkx:GVfYOlxFmf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57556:KMwEBFpIcQAcy5yOBEATEoQEtMYUkRTAREsZiUYhpjGKZAGEV1HBQIJ4owEADAQCBZI8USggvBCYSQg0MMIFGN45HQ0ELKRJ

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:ffffe3c3c3c3e397
Perceptual Hash:a1ce9e31326d25f2
Difference Hash:686406069e1e0634
Wavelet Hash:8e3ec3c3c3c3c307
Color Hash:#3a7778

Other Hashes

Crop Resistant:686406069e1e0634,0c8c8781c1850583

Scan History

Scan history not available

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