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Security Scan Report: goodjobs.gov

Redirected to: https://www.dol.gov/general/good-jobs

Submitted: Oct 11, 2025, 7:22:11 PMCompleted: Oct 11, 2025, 7:25:27 PMpubliccompleted
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Summary

This website contacted 57 IPs in 2 countries across 14 domains to perform 73 HTTP transactions. The main domain is dol.gov and was registered NaN years ago.

Submitted URL: https://goodjobs.gov/

Effective URL: https://www.dol.gov/general/good-jobsRedirected

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate government page with no security concerns.

Safety Factors
Official U.S. government website
Well‑established domain age
No credential or payment collection forms
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Page Not Found | U.S. Department of Labor

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'goodjobs.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'goodjobs' is 8 characters long containing 3 vowels alongside five consonants. Segmentation suggests two words: good, jobs. Median word length is four characters. The linguistic tilt is Chinese (Pinyin) for 'good'. It also appears in English and Lithuanian contexts.

Screenshot

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

Page Load Overview

4.12s
Total Load Time
73
HTTP Requests
14
Domains
3.2 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:4,037 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
government public service
44%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3823.45.105.16Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1720.141.12.34Phoenix, Arizona, United States
AS8070MICROSOFT-CORP-MSN-AS-BLOCK
9216.239.34.36United States
AS15169GOOGLE
8142.250.186.72United States
AS15169GOOGLE
3142.250.74.195United States
AS15169GOOGLE
2151.101.129.229San Francisco, California, United States
AS54113FASTLY
2104.19.148.8United States
AS13335CLOUDFLARENET
2142.250.184.202United States
AS15169GOOGLE
220.140.56.69San Antonio, Texas, United States
AS8070MICROSOFT-CORP-MSN-AS-BLOCK
2188.114.96.3United States
AS13335CLOUDFLARENET
7357--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15683E961A6F11036001781C5B7BABB18FAA29147F6468D82F2EC97599FC7EC57C2738C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:2s88hYUcsTWYwDVb7b9JNXdb+kmDVPeDVUDVB6DVULLheevNe1XKJqcRAgyCasKP:x88hYUcsS7DVHb+tDV2DVUDVsDVZcRA5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:84214:QBCERwMIANwQqgiDNgRgOBsiOVKiATJM7CJGUlExhAklXVJoCQIwHAAExAUCIMGwE0CFBgSAA44gGIYOUAQ8IHR5BS2QxnCg

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:0000ffbfff9fffff
Perceptual Hash:bf0643009e9db8be
Difference Hash:63433a7c2c125a5b
Wavelet Hash:00008fbfff00bbbb
Color Hash:#ac6e53

Other Hashes

Crop Resistant:63433a7c2c125a5b,0020c0c8c8308000

Scan History

Scan history not available

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