Security Scan: https://www.math.wustl.edu/~beheshti/Danforth

Summary

API

This view is built from:

Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/dfea87f7-0c8b-4852-a768-cfc283de122d Domain and IP registration (RDAP)/api/v1/rdap/dfea87f7-0c8b-4852-a768-cfc283de122dHow often this domain was scanned/api/v1/domain/stats/math.wustl.edu Scan history for this domain/api/v1/domain/history/math.wustl.edu?limit=15

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is wustl.edu and was registered 38 years ago.

Submitted URL: https://www.math.wustl.edu/~beheshti/Danforth-Campus-Map.pdf

The Cisco Umbrella rank of the primary domain is #60,252 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

Risk Score

Legitimate PDF from a reputable university; no security concerns.

Safety Factors (3)

Established academic domain (Washington University in St. Louis)

Secure HTTPS connection

Static PDF document with no interactive elements

Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Favicon Hash

MMH3: -1380871418

MD5: 35c1f4ec54b25e89d5a368a59b9faec9

Domain Name Analysis

Within the sponsored educational top-level domain (.edu), 'www.math.wustl.edu' is registered and includes subdomain 'www.math'. Its registrable label 'wustl' stretches across 5 characters with one vowel and four consonants. Word splitting yields 3 words: wu, st, l. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Page Load Overview

2.48s

Total Load Time

2.2 MB

Total Size

Language Analysis

Primary Language

🇧🇩Bengali

Code: bn

Confidence:50%

Script:Unknown

Direction:ltr

Detection Details

Text Length:10,000 chars

Detector Agreement:100%

Domain & IP Information

Requests	IP Address	Location	AS Autonomous System
2	128.252.93.57	St Louis, Missouri, United States	AS2552Washington University
2	1	-	-

Detected Technologies1

Ubuntu

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17A257EBBD8F6236D9F90C39F5498AE7692E37708E3935D0C1494338A4BA59CD0F521B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:ipxtSx2luarmMuzw/7OBsZJs/fXMZH1ZnKLmR:ipxtSx2luqmMuzW7OBsZJs/fXMZH1ZnF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:968345:5wAJBI8QDYAGDDaQEOCBLzsqlpEBEAgLkvHCq0CTGQCALEFgssElMDALQAhARWdhikbDO1lYAM6BFggcIByACx4hCQHIi0pW

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:1c9c1c1c1c1c1c1c

Perceptual Hash:9e65da6d61932165

Difference Hash:3434b4b4b4b0b0b0

Wavelet Hash:9c9e1e1e1c1e1e1e

Color Hash:#931f2b

Other Hashes

Crop Resistant:1915454949eca8ac,92586acbcab8a6a0,3434b4b4b4b0b0b0,4032cacc39c20601

Scan History

Scan history not available

Unable to load historical scan data

Security Scan Report: www.math.wustl.edu