Security Scan Report: tagged-kbc.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

Submitted: Nov 22, 2025, 4:26:06 AMCompleted: Nov 22, 2025, 4:28:48 AMpubliccompleted
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Summary

This website contacted 28 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://tagged-kbc.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

Safe Website

Confidence: 92%

1
Risk Score

Redirect leads to the legitimate IRS site; no security concerns detected.

Safety Factors
Official final destination domain
Established domain age
Absence of suspicious forms or data collection
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

Within the informational generic top-level domain (.info), 'tagged-kbc.info' is registered while skipping any subdomain. The core label 'tagged-kbc' covers 10 characters containing two vowels alongside 7 consonants, along with 1 hyphen. It segments into 2 words: tagged, kbc. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://tagged-kbc.info/

Page Load Overview

1.78s
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
3023.48.224.205Secaucus, New Jersey, United States
AS20940Akamai International B.V.
1823.48.224.197Secaucus, New Jersey, United States
AS20940Akamai International B.V.
4142.250.185.136United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
2104.92.226.233New York, New York, United States
AS16625AKAMAI-AS
2172.66.171.172United States
AS13335CLOUDFLARENET
13.174.46.54United States
AS16509AMAZON-02
13.174.46.56United States
AS16509AMAZON-02
1178.128.158.55North Bergen, New Jersey, United States
AS14061DIGITALOCEAN-ASN
1216.239.32.36United States
AS15169GOOGLE
4528--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B3D30793B2E41037413383D9BAD9FB18E652A15BD7091985B1FC0B698F9FE24AD1370E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KFfASS2vAutSRT4+NS8x2bROGpuoNCuik+M/vZEZFRSfk7eciwnztlvr7IAETO28:K5AS5va+ZYzXj2B6+8w6SZI1O/mTPj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:135552:gUMDNlAIACsAiIERxBIGSDACA4DHJYoOiQEZjiwgxRQDIYMSxfQgoSBGYAk6BCIOxAgBAAJBgiGHBmmBIBAWgIQHI4klDJDq

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:#d27987

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data