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Security Scan Report: we3lab.stanford.edu

Bot Protection Detected

This website is protected by CAPTCHA or anti-bot measures that prevented automated scanning.

Submitted: Jul 25, 2026, 12:55:21 PMCompleted: Jul 25, 2026, 12:57:02 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is we3lab.stanford.edu and was registered NaN years ago.

Submitted URL: https://we3lab.stanford.edu/video/spo/video-tour-de-france-stage-2026-liv-str-gtbzfmr.html

The Cisco Umbrella rank of the primary domain is #29,835 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 75%

4
Risk Score

Page loads a known malicious third‑party resource but lacks credential collection; treat as moderate risk.

Risk Factors
Loading a known malicious third‑party domain
CAPTCHA/bot protection may hide additional content
Safety Factors
Domain is a long‑standing Stanford subdomain
No forms or credential collection observed
No JavaScript malware or IDS alerts detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 4
Domain age information unavailable

Details

Bot Protection Detected

Our scanner could not load this page — navigation was blocked before the page rendered (possible bot protection).

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Within the sponsored educational top-level domain (.edu), 'we3lab.stanford.edu' is registered and includes subdomain 'we3lab'. Its registrable label 'stanford' stretches across 8 characters holding 2 vowels versus 6 consonants. It segments into one word: stanford. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://we3lab.stanford.edu/video/spo/video-tour-de-france-stage-2026-liv-str-gtbzfmr.html

Page Load Overview

5.19s
Total Load Time
98
HTTP Requests
20
Domains
356 KB
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:7 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22185.199.108.153United States
AS54113Fastly, Inc.
19188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1923.216.77.156Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
19142.251.110.97Google · CDNUnited States
AS15169Google LLC
1913.226.244.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
985--

Detected Technologies2

GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11F836BF5D6F96394558F83E5EB661865AE3F00FB26898194722C9FE09F11898CF87CC0

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:gXfYIkPaAntuxf/N6cw15UxDTt80xhfK6DV/JHnOJwNtPDsTSHsx:+v2AZdxLDV/JH6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83838:wJ3ATdEIhYZJ8RYSoAbVkJmkYUZQShSECATCBVAwUKooNBQiWAVoKOhgBEHSmbhgCAgK8AkoKAC4kRuDEAhlAuKNtgFPoTAi

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:efe7c7e7fffffffe
Perceptual Hash:f722558add88dd88
Difference Hash:080c1e0c00000000
Wavelet Hash:3f2703270f0f0f0e
Color Hash:#4062bf

Other Hashes

Crop Resistant:080c1e0c00000000

Scan History

Scan history not available

Unable to load historical scan data