Security Scan Report: paycheck.in

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Submitted: Feb 9, 2026, 1:10:38 AMCompleted: Feb 9, 2026, 1:12:56 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is paycheck.in and was registered NaN years ago.

Submitted URL: https://paycheck.in/salary/salarycheckers/stefon-diggs

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate informational page about Stefon Diggs salary; no security concerns detected.

Safety Factors
Well‑established domain
No malicious Indicators of Compromise
No sensitive data collection forms
No brand impersonation
No malware or suspicious scripts
Domain age information unavailable

Details

Page Title

paycheck.in

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(94%)

Domain Information

The domain 'paycheck.in' uses the Indian country-code top-level domain (.in). The core label 'paycheck' covers 8 characters holding two vowels versus six consonants. Segmentation suggests 1 word: paycheck. The median word length lands at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://paycheck.in/salary/salarycheckers/stefon-diggs

Page Load Overview

30.17s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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-in
Text Length:5,026 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
94%
entertainment media
94%
government public service
66%
corporate business
65%
social media network
61%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1139.162.181.223Frankfurt am Main, Hesse, Germany
AS63949Akamai Connected Cloud
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:WfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszkAk2bMy8Old21:VhoC9JSqzzbs6o3Sj3gcrsQAk2eAQ1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184548:EyAtSgAAgYZgE14WJokQAmOanIBgIhKNtBoiGChAn4BkCJiKCwBkaKIlAJwoOSlegZM0QcBmBCYAGhQVAApNkCT8LkwSIYTW

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc633373
Difference Hash:00181c1400000000
Wavelet Hash:f0d0c0ccf0f0f0f0
Color Hash:#3a7847

Other Hashes

Crop Resistant:00181c1400000000

Scan History

Scan history not available

Unable to load historical scan data