Security Scan Report: bother-yvz.info

Redirected to: https://www.irs.gov/refunds/get-your-refund-faster-tell-irs-to-direct-deposit-your-refund-to-one-two-or-three-accounts

Site favicon
Submitted: Dec 3, 2025, 5:36:25 PMCompleted: Dec 3, 2025, 5:38:44 PMpubliccompleted
Loading additional data...

Summary

This website contacted 30 IPs in 2 countries across 7 domains to perform 45 HTTP transactions. The main domain is irs.gov and was registered NaN years ago.

Submitted URL: http://bother-yvz.info/

Effective URL: https://www.irs.gov/refunds/get-your-refund-faster-tell-irs-to-direct-deposit-your-refund-to-one-two-or-three-accountsRedirected

AI Security Verdict

Low Risk

Confidence: 85%

0
Risk Score

Redirect from an untrusted domain to a legitimate IRS page; no immediate threats detected.

Safety Factors
Redirect leads to an official government website
Domain is long‑standing and not newly registered
No collection of sensitive data on the site
Domain age information unavailable

Details

Page Title

Get your refund faster: Tell IRS to direct deposit your refund to one, two, or three accounts | Internal Revenue Service

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(65%)

Domain Information

The domain name 'bother-yvz.info' uses the informational generic top-level domain (.info) without a subdomain. The registrable portion 'bother-yvz' spans 10 characters containing 2 vowels alongside 7 consonants; bonus characters include 1 hyphen. Tokenizing the label suggests four words: bother, y, v, z. Median word length is one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://bother-yvz.info/

Page Load Overview

2.71s
Total Load Time
45
HTTP Requests
7
Domains
1.3 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:12,140 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
65%
finance banking
64%
adult content
52%
government
48%
technology software
45%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3023.48.224.165Secaucus, New Jersey, United States
AS20940Akamai International B.V.
4142.250.184.200United States
AS15169GOOGLE
3104.20.20.192United States
AS13335CLOUDFLARENET
3216.239.34.36United States
AS15169GOOGLE
223.197.140.249Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
168.183.137.60North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
1216.239.32.36United States
AS15169GOOGLE
13.174.46.54United States
AS16509AMAZON-02
1216.58.206.72United States
AS15169GOOGLE
123.49.250.165Edison, New Jersey, United States
AS20940Akamai International B.V.
4530--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112B3D793B1E41037017383E579D9FB18DA929153D7092882B1EC0B6E9FABE25AD1770F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:d99VVmLwAutSRT4+NS8x2bROGpuoNCuikCn6eEZFRSfk7eciwnztlOr7IAETO2O4:drfmLV6pZg3fPwwmZ7wnCmtPg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116144:QwBIGBxyknXXsiMODBHiQMwAnBCgEkEQcIrAkQAGjAAKCAA9JAgrUKMeAZC4g4IBADKsGAAyOwdAgBAoZMnppmNDCBgwgEGM

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:0000fffbfbffffff
Perceptual Hash:b11c1647497ab8f9
Difference Hash:dd0c360b030e0c1c
Wavelet Hash:000083e3e3e7e7ef
Color Hash:#2d5b86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data