Security Scan Report: s204.q4cdn.com

Response type:PDF documentapplication/pdfHTTP 200The address opens a PDF document rather than a web page.
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is q4cdn.com and was registered 15 years ago.

Submitted URL: https://s204.q4cdn.com/636391999/files/doc_financials/2019/q1/Hormel-Foods-Reports-First-Quarter-Results-And-Reaffirms-Fiscal-2019-Guidance.pdf

The Cisco Umbrella rank of the primary domain is #41,652 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

AI analysis skipped: Low-risk scan (score=23) on well-ranked domain #41,652.

Safety Factors (3)
Well-established domain (ranked #41,652)
No forms or interactive credential elements
No IoC, hunting rule, or IDS alerts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Domain Name Analysis

The domain 's204.q4cdn.com' uses the commercial generic top-level domain (.com) with subdomain 's204'. The core label 'q4cdn' covers 5 characters with 0 vowels and 4 consonants, plus 1 digit. Segmentation suggests 4 words: q, 4, cd, n. Expect one character per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Hormel Earnings Release Q1 2019 HORMEL FOODS REPORTS FIRST QUARTER RESULTS AND REAFFIRMS FISCAL 2019 GUIDANCE Growth in Sales and Pre-tax Earnings Demonstrates the Company's Balanced Business Model...

Page Load Overview

0.23s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

0
Detector Agreement:0%

Website Classification

Primary Category

corporate business46% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

corporate business
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.172.148.132Germany
AS44239proinity GmbH
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2C02B49C068501DB0343A81DDF93B12C85EC1012679EDCBF4DB0A394B1CB5A488F01E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZx4LyFzT6LTORuWyPDo0GD/1BwqEXDrroYdF0NAEtvpL//X0HKqz:qzx4LKT6+8HGD/1BwqEX3kYdF0NAEdpA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:aa9c6b497c30fc8d8f873bf62698eea8

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data