Security Scan Report: www.citizen-times.com

Redirected to: https://eu.citizen-times.com/story/weather/2025/10/16/old-farmers-almanac-thanksgiving-2025-travel-weather-forecast-north-carolina/86726493007/

Submitted: Oct 17, 2025, 1:46:26 PMCompleted: Oct 17, 2025, 1:50:08 PMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 11 domains to perform 128 HTTP transactions. The main domain is eu.citizen-times.com and was registered NaN years ago.

Submitted URL: https://www.citizen-times.com/story/weather/2025/10/16/old-farmers-almanac-thanksgiving-2025-travel-weather-forecast-north-carolina/86726493007/

Effective URL: https://eu.citizen-times.com/story/weather/2025/10/16/old-farmers-almanac-thanksgiving-2025-travel-weather-forecast-north-carolina/86726493007/Redirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Domain age over 28 years (well‑established)
No malicious Indicators of Compromise matches found
No credential or payment collection forms
Content is typical news article with no suspicious redirects
Domain age information unavailable

Details

Page Title

Old Farmer's Almanac Thanksgiving 2025 travel forecast for NC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(65%)

Domain Information

Domain 'www.citizen-times.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The core label 'citizen-times' covers 13 characters split between 5 vowels and seven consonants, notching 1 hyphen. Tokenizing the label suggests two words: citizen, times. Expect six characters per word on average. 'citizen' most often appears in English. Secondary signals appear in Chinese (Pinyin) and Danish. Net impression: English phrase with character flair.

Screenshot

Security scan screenshot of https://www.citizen-times.com/story/weather/2025/10/16/old-farmers-almanac-thanksgiving-2025-travel-weather-forecast-north-carolina/86726493007/

Page Load Overview

7.26s
Total Load Time
128
HTTP Requests
11
Domains
76.3 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:19,555 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism65% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
65%
government public service
56%
adult content
55%
travel tourism
53%
documentation technical
45%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
111146.75.122.62Frankfurt am Main, Hesse, Germany
AS54113FASTLY
16151.101.193.91San Francisco, California, United States
AS54113FASTLY
12104.18.86.42United States
AS13335CLOUDFLARENET
7104.18.87.42United States
AS13335CLOUDFLARENET
718.244.18.122United States
AS16509AMAZON-02
718.244.18.38United States
AS16509AMAZON-02
718.244.18.32United States
AS16509AMAZON-02
72a04:4e42::347United States
AS54113FASTLY
7151.101.1.91San Francisco, California, United States
AS54113FASTLY
72606:4700::6812:562aUnited States
AS13335CLOUDFLARENET
12817--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D864E56B3954233AE6D7874DAAA27B853520885FFD334CDCF58D53384BCABE20D1164A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:73HxeWdnX3sdV5wUkti3AkxY39gYr8ygs/yZxmYhp6tYvy3jdm2mHMlz9JAafFTO:bHxeWdnXixUPOETebyuEcQ3iF9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:322548:kekgpbOwIJoQEBEk5ZDYhDJhpABgCLEYQCYC8UgqJxASQpIIhG8RpGQAIAIRKCdIaJACFealWQLzSUlgQWF0MSIiAMphocns

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:e7c3c3c3e3ffffff
Perceptual Hash:e5619e9e49c98ac9
Difference Hash:8e8e86868ec8ccc6
Wavelet Hash:40c2c2c3c3e7e7e3
Color Hash:#aae06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data