Security Scan Report: feministfutures.socialsciences.ucsb.edu

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Submitted: Jan 29, 2026, 10:19:31 PMCompleted: Jan 29, 2026, 10:21:30 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is feministfutures.socialsciences.ucsb.edu and was registered NaN years ago.

Submitted URL: https://feministfutures.socialsciences.ucsb.edu/wp-content/uploads/event-manager-uploads/event_banner/2026/01/idr5rers.pdf

The Cisco Umbrella rank of the primary domain is #72,682 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate university PDF; no security threats detected.

Safety Factors
Established domain age and reputable institutional hosting
High Cisco Umbrella ranking
Absence of forms or data‑collection fields
No malicious Indicators of Compromise detected
Static PDF content without active scripts
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'feministfutures.socialsciences.ucsb.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'feministfutures.socialsciences'. The second-level label 'ucsb' is 4 characters long split between one vowel and 3 consonants. Segmentation suggests one word: ucsb. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://feministfutures.socialsciences.ucsb.edu/wp-content/uploads/event-manager-uploads/event_banner/2026/01/idr5rers.pdf

Page Load Overview

0.76s
Total Load Time
3
HTTP Requests
1
Domains
255 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:10,000 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: unknown
Method: ML-based

All Detected Categories

No categories detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
323.185.0.1United States
AS54113Fastly, Inc.
31--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12AE068E386A35C89C04233B04DF5941CA6634389ABC14F2829A83162D20D4F004237CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:haxO96v6OqoXssF/uBKTR+ViBQNq2rwneFy+RU3tZoOk7EcbViBIHKa:haxPvpXMKo3Gn55te7ttHj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:c011a68667519ca31ba738aa31e0573b

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

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