Security Scan Report: agentic-ai.berkeley.edu

Redirected to: https://watch.liveespn.com/soccer/?id=Borussia+Dortmund+vs+FC+Cologne

Submitted: Oct 25, 2025, 9:51:04 PMCompleted: Oct 25, 2025, 9:51:56 PMpubliccompleted
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Summary

This website contacted 42 IPs in 3 countries across 8 domains to perform 63 HTTP transactions. The main domain is watch.liveespn.com.

Submitted URL: https://agentic-ai.berkeley.edu/video/dft/video-borussia-dortmund-v-fc-cologne-watch-live-hd-03.html

Effective URL: https://watch.liveespn.com/soccer/?id=Borussia+Dortmund+vs+FC+CologneRedirected

AI Security Verdict

High Risk

Confidence: 85%

10
Risk Score

Site impersonates ESPN on a suspicious new domain; treat as high‑risk phishing.

Risk Factors
Brand impersonation on a non‑official domain
New, unranked domain with unknown registration date
Mandatory registration to access content (potential credential harvesting)
Domain age information unavailable

Details

Page Title

Borussia Dortmund vs FC Cologne

Scan Type

public

Language

🇺🇸

English

(51% confidence)

Category

malicious

(27%)

Domain Information

Domain 'agentic-ai.berkeley.edu' uses the sponsored educational top-level domain (.edu) with subdomain 'agentic-ai'. Count 8 characters in 'berkeley' containing 3 vowels alongside five consonants. Tokenizing the label suggests 1 word: berkeley. Most frequently, 'berkeley' shows up in Icelandic. You may catch it in Sinhala and Vietnamese as well.

Screenshot

Security scan screenshot of https://agentic-ai.berkeley.edu/video/dft/video-borussia-dortmund-v-fc-cologne-watch-live-hd-03.html

Page Load Overview

22.24s
Total Load Time
63
HTTP Requests
8
Domains
784 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:51%
Script Type:Latin
HTML Lang Attribute:en
Text Length:622 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious27% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

malicious
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22185.199.111.153United States
AS54113FASTLY
113.226.244.67United States
AS16509AMAZON-02
118.66.147.49United States
AS16509AMAZON-02
1185.199.109.153San Francisco, California, United States
AS54113FASTLY
1185.199.108.153United States
AS54113FASTLY
1104.17.24.14United States
AS13335CLOUDFLARENET
192.113.16.181Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
1185.199.110.153United States
AS54113FASTLY
1216.58.206.40United States
AS15169GOOGLE
1149.56.240.27Montreal, Quebec, Canada
AS16276OVH SAS
6342--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T152726329D4F119374053B8C9AA756F2E3AE2850BEA0B4D4077FD4BE28FDBE85C853548

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:TmgROXSn1on/3bQmY0RvJ0pGM09rTPhDVb1wBnL4s/iCjh7LEQ6bBPFt60AjjvZY:aE1wPhYQ931IoCk99NcGNCRuVxag4zK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16245:EACgwmHYNE0QiYpFBgUSERIAWRMMAQsEgCQTgOxYgIgKUApgANUyDBIURYAC75FB4HAoQu2BsiEAAoHDMHkYEBAyBw0KJAIE

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data