Security Scan Report: ssam.tandil.gov.ar

Redirected to: https://bookstation.org/news/wmur-tv-weather-radar-4993403

Submitted: Dec 29, 2025, 11:19:13 AMCompleted: Dec 29, 2025, 11:20:51 AMpubliccompleted
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Summary

This website contacted 11 IPs in 2 countries across 9 domains to perform 36 HTTP transactions. The main domain is bookstation.org and was registered NaN years ago.

Submitted URL: https://ssam.tandil.gov.ar/virtual-library/63tUai/04A005/wmur-tv_weather-radar.pdf

Effective URL: https://bookstation.org/news/wmur-tv-weather-radar-4993403Redirected

AI Security Verdict

Safe Website

Confidence: 82%

0
Risk Score

The site shows no suspicious indicators and appears legitimate.

Safety Factors
Multiple redirects ultimately lead to a consistent final URL
Domain age (87 days) is recent but no malicious activity observed
Site does not host login, password, or payment fields
Domain age information unavailable

Details

Page Title

Wmur Tv Weather Radar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(82%)

Domain Information

Within the Argentine country-code top-level domain (.gov.ar), 'ssam.tandil.gov.ar' is registered with subdomain 'ssam'. The second-level label 'tandil' is 6 characters long containing two vowels alongside four consonants. It segments into 3 words: t, and, il. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ssam.tandil.gov.ar/virtual-library/63tUai/04A005/wmur-tv_weather-radar.pdf

Page Load Overview

4.10s
Total Load Time
36
HTTP Requests
0
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
Text Length:6,885 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
82%
news media journalism
70%
forum community discussion
61%
documentation technical
40%
adult content
39%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
577.88.21.119Russia
AS13238YANDEX LLC
5172.240.127.242UnknownUnknown
3216.239.34.36UnknownUnknown
2172.67.148.168UnknownUnknown
1104.20.11.41United States
AS13335CLOUDFLARENET
1149.56.240.132UnknownUnknown
1167.172.1.234UnknownUnknown
187.250.250.119UnknownUnknown
1142.4.219.198UnknownUnknown
1104.20.10.41UnknownUnknown
011--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190720A7EAE4B40564953439DA2F3E3096238A513A30BDC59F5CC81A8AFC7AD4CC67B5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:1Q3MlbRS38f7rZiDEYQjBLNwag4pEag4l2:O3iwsf7lLNwag4pEag4M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16968:ZQNCAEAEoQoAYaGAgEECAEPBNxIFDBDMAEAfRCbQgBQAMSYQHBFDSEQpFzFnYXWAgmACopJCxA0GhCSgWlIEANZCMQGToASn

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:e7ffe7c3c3c3c3c3
Perceptual Hash:b0c7d76633306666
Difference Hash:0c0006161616161e
Wavelet Hash:e6fec2c2c3c3c2c2
Color Hash:#c58787

Other Hashes

Crop Resistant:0c0006161616161e

Scan History

Scan history not available

Unable to load historical scan data