Security Scan Report: employers.org

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Submitted: Jan 2, 2026, 2:26:28 PMCompleted: Jan 2, 2026, 2:28:05 PMpubliccompleted
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Summary

This website contacted 36 IPs in 3 countries across 29 domains to perform 123 HTTP transactions. The main domain is employers.org and was registered NaN years ago.

Submitted URL: https://employers.org/2025/12/30/blog-2026-irs-mileage-rate/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Absence of login or payment fields
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

2026 IRS Mileage Rate Announced! - California Employers Association

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Within the non-profit oriented generic top-level domain (.org), 'employers.org' is registered without a subdomain. Count 9 characters in 'employers' split between three vowels and six consonants. It segments into one word: employers. The median word length lands at nine characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://employers.org/2025/12/30/blog-2026-irs-mileage-rate/

Page Load Overview

8.25s
Total Load Time
112
HTTP Requests
30
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-US
Text Length:7,223 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service58% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
58%
news/blog
35%
news media journalism
35%
forum
25%
news
15%

Detected Features

Search
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
774.125.71.155United States
AS15169GOOGLE
3100.30.147.240United States
32.18.64.220Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
33.171.214.34Unknown
33.171.214.60Unknown
374.125.71.157Unknown
3172.67.71.102United States
AS13335CLOUDFLARENET
3216.58.206.35United States
AS15169GOOGLE
32.18.64.212UnknownUnknown
3104.26.4.247United States
AS13335CLOUDFLARENET
11236--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1A419A2ADA02038416FD2C5F0557A14F3768343E7478EE5B1EC529ECFC669132FE61A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:NvOCf7PC10BvMk5DY+lliCWly6Oz7KlUwSy/rrbkwnR67Z5k4pX:NWCf7qk5c+lliCWlyYkwR67Z5k4l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:450188:JqJfgdtQQWkMWSECIAwgLGwmgqAghTAoxA8QgEAFFMC4FRAlAkACoEwAVHKixNBKqCQsgAA2BVUAtzKmgYKSGJgCBWAQaEjY

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:fd818181ffffffff
Perceptual Hash:bf3bc1c2c2c64e92
Difference Hash:613b332338631f3b
Wavelet Hash:b98181819f839f9f
Color Hash:#1f7293

Scan History

Scan history not available

Unable to load historical scan data