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Security Scan Report: iop.harvard.edu

Submitted: Nov 19, 2025, 9:23:59 PMCompleted: Nov 19, 2025, 9:26:27 PMpubliccompleted
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Summary

This website contacted 151 IPs in 2 countries across 21 domains to perform 77 HTTP transactions. The main domain is iop.harvard.edu and was registered NaN years ago.

Submitted URL: https://iop.harvard.edu/events/cnns-abby-phillip

The Cisco Umbrella rank of the primary domain is #23,419 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The page is a legitimate Harvard event page with no security concerns.

Safety Factors
Well‑established domain (registered 1985)
Cisco Umbrella ranking within top 25 000
Official Harvard Institute of Politics domain
No malicious Indicators of Compromise matches found
No password or payment fields present
Domain age information unavailable

Details

Page Title

CNN's Abby Phillip | The Institute of Politics at Harvard University

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(91%)

Domain Information

Domain 'iop.harvard.edu' uses the sponsored educational top-level domain (.edu), featuring subdomain 'iop'. Count 7 characters in 'harvard' with 2 vowels and five consonants. Tokenizing the label suggests 1 word: harvard. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iop.harvard.edu/events/cnns-abby-phillip

Page Load Overview

1.97s
Total Load Time
77
HTTP Requests
21
Domains
3.0 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:16,581 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network91% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
91%
news media journalism
46%
education
45%
government public service
34%
forum community discussion
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.185.0.4United States
AS54113FASTLY
10142.250.186.131United States
AS15169GOOGLE
8142.250.186.46United States
AS15169GOOGLE
6172.67.151.8United States
AS13335CLOUDFLARENET
4172.217.18.8United States
AS15169GOOGLE
3142.250.186.106United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
213.32.121.118New York, New York, United States
AS16509AMAZON-02
23.90.116.37Ashburn, Virginia, United States
AS14618AMAZON-AES
2142.250.186.170United States
AS15169GOOGLE
77151--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF448272BA75122E06079BD1ED57E354626CD401F1080790B5EFAB2487CEACBB1FBA5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:j57NEgYT4eNcqdjroxN3HcFqEGp+pCkxNVzrR8GtN60OmNtV++S8w3cjzOnOYdHH:d7IGOtRHt0ErHot

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:277173:lIARBcyRIZOxIgAqSPAZAQBk0FqLCYmVcDAAhECAEIbFJ+5hB6CABBAMLg2GEWDcghB0EAZSRKgDAwmIIwcmQwVCVBCgCQIA

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:00ffe1e1e1e3ffff
Perceptual Hash:e36e9c146c186b6b
Difference Hash:342e0b474f0b180f
Wavelet Hash:00e781e1e1e1efe3
Color Hash:#53ac5a

Other Hashes

Crop Resistant:342e0b474f0b180f,7e7c7d7878797979,81c1c1e161717159,01440cf4f4d40c41,14c8ccccccccf873

Scan History

Scan history not available

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