Security Scan Report: fueleconomy.gov

Submitted: Dec 11, 2025, 1:43:28 AMCompleted: Dec 11, 2025, 1:44:25 AMpubliccompleted
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Summary

This website contacted 36 IPs in 2 countries across 7 domains to perform 43 HTTP transactions. The main domain is fueleconomy.gov and was registered NaN years ago.

Submitted URL: https://fueleconomy.gov/

The Cisco Umbrella rank of the primary domain is #335,296 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Official .gov domain
Long-established domain age
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Fuel Economy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(78%)

Domain Information

Domain 'fueleconomy.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The core label 'fueleconomy' covers 11 characters split between five vowels and six consonants. Breaking it apart gives 2 words: fuel, economy. Median word length comes out to 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fueleconomy.gov/

Page Load Overview

22.48s
Total Load Time
43
HTTP Requests
7
Domains
1.9 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:4,596 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical78% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
78%
government public service
72%
technology software
66%
education learning
63%
adult content
59%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8151.101.194.137San Francisco, California, United States
AS54113FASTLY
1104.18.11.207United States
AS13335CLOUDFLARENET
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
199.84.152.56United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1142.250.185.104United States
AS15169GOOGLE
199.84.152.69United States
AS16509AMAZON-02
1160.91.94.41Clinton, Tennessee, United States
AS50ORNL-MSRNET
1151.101.66.137San Francisco, California, United States
AS54113FASTLY
1184.25.51.42Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4336--

Detected Technologies5

JQueryv3.6.0
100%
Bootstrapv3.0.0
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D0365169ACD2C3F021797846905739CA49F1F75C3254EA7F1F7282EA782EC4490E9BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4+1n1yQkqfCZ5ouCgKTKOefFsWsbG2gbQvKMKPMF6dI+ApE7KpxgQMwbMU5MtmKN:4+1sQ8NrfKnbdaQ/l+O2+kT7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39687:lqsSDZHAMShBD4CKZhggBuFDQDA2RQgICBCQEiCGRAUBIATlh4CFCfAKKESiQKBLBocEGRJKkChyBRImkANEgBwCBwUQQEzy

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:00c3c3c3c3ffffff
Perceptual Hash:ed6c12131b1fc669
Difference Hash:69060616920e1632
Wavelet Hash:00c3c3c3c3c7c3fb
Color Hash:#1f9327

Scan History

Scan history not available

Unable to load historical scan data