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Security Scan Report: npic.orst.edu

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Submitted: Dec 27, 2025, 12:40:53 PMCompleted: Dec 27, 2025, 12:41:50 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 9 domains to perform 20 HTTP transactions. The main domain is npic.orst.edu and was registered NaN years ago.

Submitted URL: https://npic.orst.edu/pest/bedbug/index.html

The Cisco Umbrella rank of the primary domain is #496,138 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

Page contains multiple credential‑harvesting indicators; treat as high‑risk phishing.

Risk Factors
Credential harvesting form on a public informational page
Obfuscated password input (type=text with password placeholder)
Hidden password input field
Unicode characters used to confuse users
Password field lacking a username/email field
Domain age information unavailable

Details

Page Title

Bed Bugs

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'npic.orst.edu' uses the sponsored educational top-level domain (.edu) and includes subdomain 'npic'. The core label 'orst' covers 4 characters with 1 vowel and three consonants. Segmentation suggests two words: or, st. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://npic.orst.edu/pest/bedbug/index.html

Page Load Overview

13.68s
Total Load Time
97
HTTP Requests
11
Domains
2.3 MB
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:26,891 chars
Detector Agreement:100%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
education learning
41%
healthcare medical
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17104.16.174.226United States
AS13335CLOUDFLARENET
102.18.244.24United States
AS54113
1088.221.92.41United States
AS4201
1018.245.86.94United States
AS16509AMAZON-02
10151.101.2.137United States
AS54113FASTLY
10142.250.185.168United States
AS16509
10128.193.82.21McMinnville, Oregon, United States
AS4201ORST-AS
10216.239.32.36United StatesUnknown
1088.221.92.23United StatesUnknown
979--

Detected Technologies3

JQueryv3.7.1
100%
Google-AnalyticsvUniversal
100%
WordPress
75%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B737466C79C19B70302818EEB57FB44A7AF0977C924E167F8BF03482785E93540F69A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:tkIhSzrgDETUdeNiZ9IcC2TkNund5X5J3tdnNubH:MhLNiZ9Xfkunr5J3tdNuz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:74149:YYALAETCcSBPpkogZwAAkI2CoRYCAhQIgBMyYgGokIWQCnBAUiHKMEkEI8mEAKXACEIhCINESUsAEQSBAIjAngyV4MsBICAK

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:9f838183bffffffe
Perceptual Hash:bd2fd088c4a971ab
Difference Hash:33270b0f773e3034
Wavelet Hash:9d81818383dfdfc4
Color Hash:#934e1f

Other Hashes

Crop Resistant:33270b0f773e3034,8703034383050b1f,1343696070656727

Scan History

Scan history not available

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