Security Scan Report: fueleconomy.gov

Submitted: Oct 21, 2025, 12:28:56 AMCompleted: Oct 21, 2025, 12:30:26 AMpubliccompleted
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Summary

This website contacted 36 IPs in 2 countries across 7 domains to perform 45 HTTP transactions. The main domain is fueleconomy.gov and was registered NaN years ago.

Submitted URL: https://fueleconomy.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official fuel economy website with no security concerns.

Safety Factors
Long‑standing, well‑established domain
Government‑run site with transparent ownership
No suspicious forms or redirects
Domain age information unavailable

Details

Page Title

Fuel Economy

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(49%)

Domain Information

The domain 'fueleconomy.gov' uses the United States government-restricted top-level domain (.gov). Count 11 characters in 'fueleconomy' with five vowels and six consonants. Breaking it apart gives two words: fuel, economy. Average segment length settles at 5.5 characters. 'fuel' most strongly signals English. You will also see it in Chinese (Pinyin) and Chinese (Zhuyin) contexts.

Screenshot

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

Page Load Overview

49.22s
Total Load Time
45
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:4,706 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
49%
government
48%
government public service
41%
technology software
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10151.101.194.137San Francisco, California, United States
AS54113FASTLY
1184.24.77.9Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1142.250.181.232United States
AS15169GOOGLE
199.84.152.87United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
1151.101.2.137San Francisco, California, United States
AS54113FASTLY
199.84.152.92United States
AS16509AMAZON-02
1160.91.94.41Clinton, Tennessee, United States
AS50ORNL-MSRNET
1104.18.10.207United States
AS13335CLOUDFLARENET
12620:0:2b30:115:cb69:d91:c04e:ddccKnoxville, Tennessee, United States
AS50ORNL-MSRNET
4536--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1740364169ACD2C3F021797842915739CA49F1F75C3264EA7F1F7282E6782EC4490E9BE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:4+1n1yQkqfCZ5ouCgKTKOefFsWsbGdlVKSgbQvKMKPMF6dI+ApE7KpxgQMTbMw5g:4+1sQ8NrfKnbglLaQa4GO5+kT7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40320:AaIElNAACS8CGCBNwhZjKGgMcDMAJVwDDIIEQBIksZEAIIKJmBqFIMiSkAQAPYHQuQZMgJABeEIoCQAhCRBcDHFGmg0oxlDQ

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:#ac537d

Scan History

Scan history not available

Unable to load historical scan data