Security Scan Report: ww2.jacksonms.gov

Redirected to: https://bookstation.org/book/how-many-days-till-christmas-4987197

Submitted: Dec 12, 2025, 3:28:00 PMCompleted: Dec 12, 2025, 3:30:21 PMpubliccompleted
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Summary

This website contacted 37 IPs in 3 countries across 7 domains to perform 20 HTTP transactions. The main domain is bookstation.org and was registered NaN years ago.

Submitted URL: https://ww2.jacksonms.gov/libweb/NzXrZq/271011/how__many_days-till__christmas.pdf

Effective URL: https://bookstation.org/book/how-many-days-till-christmas-4987197Redirected

The Cisco Umbrella rank of the primary domain is #512,405 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Multiple redirects and a new, low‑rank domain make this site high‑risk despite lack of malicious content.

Risk Factors
Newly registered domain (<90 days) increases suspicion
Excessive number of redirects (7) may be used to obscure true destination
Low Cisco Umbrella ranking suggests limited reputation
Domain age information unavailable

Details

Page Title

How Many Days Till Christmas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(94%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'ww2.jacksonms.gov' is registered with subdomain 'ww2'. The registrable portion 'jacksonms' spans 9 characters containing two vowels alongside 7 consonants. Tokenizing the label suggests two words: jackson, ms. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ww2.jacksonms.gov/libweb/NzXrZq/271011/how__many_days-till__christmas.pdf

Page Load Overview

78.40s
Total Load Time
20
HTTP Requests
7
Domains
86 KB
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:5,573 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical94% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
94%
technology software
90%
education learning
89%
download file sharing
88%
news media journalism
85%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20104.20.10.41United States
AS13335CLOUDFLARENET
0216.239.32.36United States
AS15169GOOGLE
0216.239.34.36United States
AS15169GOOGLE
0172.240.108.76United States
AS7979SERVERS-COM
0172.67.148.168United States
AS13335CLOUDFLARENET
087.250.251.119Russia
AS13238YANDEX LLC
0172.240.127.244United States
AS7979SERVERS-COM
0149.56.240.131Montreal, Quebec, Canada
AS16276OVH SAS
087.250.250.119Russia
AS13238YANDEX LLC
077.88.21.119Russia
AS13238YANDEX LLC
2037--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10A72E71BAF93111949F3816566B667892324D017D70ACCA8BCECC1AC5F89BD58937BCC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hQNg51MB9os0cBlEk5c8ga/MPfaBt9jUA6EYQjH59wag4ptag4U:iNqeAxcBuSHga/MPfaBt9jUAZ59wag4l

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16179:AIoyEGmAcGMhiqkdIZcViAEEEUgVikREQAqxhEPeksAAgcBEIJp4AEYUAMU1iGukBggGCOAPAEEUZSDaCPEEQhQTKUIqCQAA

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:e7c3c3c3c3c3c7ff
Perceptual Hash:b475c772938322c7
Difference Hash:0e16161e16160606
Wavelet Hash:c6c2c3c3c3c3c3c7
Color Hash:#931f33

Other Hashes

Crop Resistant:0e16161e16160606

Scan History

Scan history not available

Unable to load historical scan data