Security Scan Report: sede-tu.seg-social.gob.es

Redirected to:
https://idp.seg-social.es/PGIS/Login
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Submitted: Aug 14, 2026, 1:34:33 AMCompleted: Aug 14, 2026, 1:35:51 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 2 HTTP transactions. The main domain is idp.seg-social.es.

Submitted URL: https://sede-tu.seg-social.gob.es/wps/myportal/tussR/tuss/Inicio/

Effective URL: https://idp.seg-social.es/PGIS/LoginRedirected

The Cisco Umbrella rank of the primary domain is #407,935 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site shows no malicious indicators and appears to be a legitimate government portal.

Safety Factors
Official government subdomain (seg-social.gob.es)
All forms are language selectors or navigation, not data collection
No cross‑origin credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

Pasarela Seguridad Social

Scan Type

public

Language

🇪🇸

Spanish

(80% confidence)

Category

government public service

(99%)

Domain Information

You're looking at domain 'sede-tu.seg-social.gob.es' on the Spanish country-code top-level domain (.gob.es); it also runs on subdomain 'sede-tu'. The second-level label 'seg-social' is 10 characters long containing 4 vowels alongside 5 consonants; it also includes 1 hyphen. Tokenizing the label suggests two words: seg, social. The median word length lands at 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sede-tu.seg-social.gob.es/wps/myportal/tussR/tuss/Inicio/

Page Load Overview

3.47s
Total Load Time
81
HTTP Requests
8
Domains
1.5 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:es
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:es
Text Length:503 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service99% confidence
Type: webapp
Method: ml+structural

All Detected Categories

government public service
99%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4118.101.42.247Aws · CLOUDZaragoza, Aragon, Spain
AS16509Amazon.com, Inc.
4023.36.162.205Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
812--

Detected Technologies3

JQueryv3.5.1
100%
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A2228520608F1E374107809770936A45D5DF9E30EE7A6D82B3B7C2DE27D6D8C65963E2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:IVjzMgBOikMcQ6IsYUUhqjjK8vIhqZ0hqUwN8hqOnDzTSKqchiv:IJMgBOikMcQDsGhqidhqehqHN8hqOnDG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10602:gUUbMg0VAAhMxIJgEBKCSxSoBEJAILAMFhYgYMGAVZwLGPhgQGBjWxQNGEELMIUBQFzIGEkQNaCCMiYaqgKR2BAB8GIsRJcg

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:dfffffffff83c3ff
Perceptual Hash:bd931c3c92393c9a
Difference Hash:320e0c080e161635
Wavelet Hash:8ff7e7e7c3818100
Color Hash:#2d4086

Other Hashes

Scan History

Scan history not available

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