bhooi.github.io
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urlscan Pro
2606:50c0:8001::153
Public Scan
Submission: On April 14 via api from GB — Scanned from GB
Summary
This is the only time bhooi.github.io was scanned on urlscan.io!
urlscan.io Verdict: No classification
Domain & IP information
IP Address | AS Autonomous System | ||
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7 | 2606:50c0:800... 2606:50c0:8001::153 | 54113 (FASTLY) (FASTLY) | |
1 | 2001:4de0:ac1... 2001:4de0:ac18::1:a:3a | 20446 (STACKPATH...) (STACKPATH-CDN) | |
8 | 2 |
Apex Domain Subdomains |
Transfer | |
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7 |
github.io
bhooi.github.io |
216 KB |
1 |
jquery.com
code.jquery.com — Cisco Umbrella Rank: 647 |
33 KB |
8 | 2 |
Domain | Requested by | |
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7 | bhooi.github.io |
bhooi.github.io
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1 | code.jquery.com |
bhooi.github.io
|
8 | 2 |
This site contains links to these domains. Also see Links.
Subject Issuer | Validity | Valid | |
---|---|---|---|
*.jquery.com Sectigo RSA Domain Validation Secure Server CA |
2021-07-14 - 2022-08-14 |
a year | crt.sh |
This page contains 1 frames:
Primary Page:
http://bhooi.github.io/
Frame ID: 218EEE2310BEF66877BDDDB356F762A3
Requests: 8 HTTP requests in this frame
Screenshot
Page Title
Bryan Hooi @ NUSDetected technologies
Bootstrap (Web Frameworks) ExpandDetected patterns
- <link[^>]* href=[^>]*?bootstrap(?:[^>]*?([0-9a-fA-F]{7,40}|[\d]+(?:.[\d]+(?:.[\d]+)?)?)|)[^>]*?(?:\.min)?\.css
- bootstrap(?:[^>]*?([0-9a-fA-F]{7,40}|[\d]+(?:.[\d]+(?:.[\d]+)?)?)|)[^>]*?(?:\.min)?\.js
GitHub Pages (CDN) Expand
Detected patterns
- ^https?://[^/]+\.github\.io
jQuery (JavaScript Libraries) Expand
Detected patterns
- jquery[.-]([\d.]*\d)[^/]*\.js
- jquery.*\.js(?:\?ver(?:sion)?=([\d.]+))?
Page Statistics
47 Outgoing links
These are links going to different origins than the main page.
Title: MemStream: Memory-Based Streaming Anomaly Detection
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Title: LUNAR: Unifying Local Outlier Detection Methods via Graph Neural Networks
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Title: Time Series Anomaly Detection with Adversarial Reconstruction Networks
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Title: Dynamic Graph-Based Anomaly Detection in the Electrical Grid
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Title: MonLAD: Money Laundering Agents Detection in Transaction Streams
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Title: Real-Time Anomaly Detection in Edge Streams
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Title: Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
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Title: EIGNN: Efficient Infinite-Depth Graph Neural Networks
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Title: Adaptive Data Augmentation on Temporal Graphs
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Title: SSMF: Shifting Seasonal Matrix Factorization
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Title: Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks
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Title: GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
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Title: Towards Better Laplacian Representation in Reinforcement Learning with Generalized Graph Drawing
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Title: PathEnum: Towards Real-Time Hop-Constrained s-t Path Enumeration
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Title: Spherical Confidence Learning for Face Recognition
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Title: MSTREAM: Fast Anomaly Detection in Multi-Aspect Streams
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Title: ExGAN: Adversarial Generation of Extreme Samples
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Title: Autonomous Graph Mining Algorithm Search with Best Speed/Accuracy Trade-off
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Title: Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers
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Title: STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
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Title: Structural Patterns and Generative Models of Real-world Hypergraphs
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Title: Robustness of Autoencoders for Anomaly Detection Under Adversarial Impact
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Title: Identifying through Flows for Recovering Latent Representations
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Title: FlowScope: Spotting Money Laundering Based on Graphs
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Title: MIDAS: Microcluster-Based Detector of Anomalies in Edge Streams
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Title: Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams
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Title: BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
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Title: Fast and Accurate Anomaly Detection in Dynamic Graphs with a Two-Pronged Approach
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Title: Impact of Load Models on Power Flow Optimization
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Title: Think before You Discard: Accurate Triangle Counting in Graph Streams with Deletions.
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Title: ONE-M: Modeling the Co-evolution of Opinions and Network Connections
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Title: EagleMine: Vision-Guided Mining in Large Graphs.
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Title: Fast, Accurate and Flexible Algorithms for Dense Subtensor Mining.
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Title: NeuCast: Seasonal Neural Forecast of Power Grid Time Series.
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Title: REV2: Fraudulent User Prediction in Rating Platforms.
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Title: Fraud Detection using Graph Topology and Temporal Spikes.
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Title: ZOORANK: Ranking Suspicious Entities in Time-Evolving Tensors.
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Title: BEATLEX: Summarizing and Forecasting Time Series with Patterns.
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Title: PowerCast: Mining and Forecasting Power Grid Sequences.
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Title: The Message or the Messenger? Inferring Virality and Diffusion Structure from Online Petition Signature Data.
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Title: DenseAlert: Incremental Dense-Subtensor Detection in Tensor Streams.
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Title: D-Cube: Dense-Block Detection in Terabyte-Scale Tensors.
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Title: M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees.
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Title: Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algortihms.
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Title: Power-Hop: A Pervasive Observation for Real Complex Networks.
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Title: Matrices, Compression, Learning Curves: formulation, and the GROUPNTEACH algorithms.
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Title: A General Suspiciousness Metric for Dense Blocks in Multimodal Data.
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Redirected requests
There were HTTP redirect chains for the following requests:
8 HTTP transactions
Method Protocol |
Resource Path |
Size x-fer |
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GET H/1.1 |
Primary Request
/
bhooi.github.io/ |
28 KB 9 KB |
Document
text/html |
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GET H/1.1 |
bootstrap.min.css
bhooi.github.io/dist/css/ |
119 KB 20 KB |
Stylesheet
text/css |
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GET H/1.1 |
ie10-viewport-bug-workaround.css
bhooi.github.io/assets/css/ |
297 B 914 B |
Stylesheet
text/css |
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GET H/1.1 |
webpage.css
bhooi.github.io/ |
934 B 1 KB |
Stylesheet
text/css |
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GET H/1.1 |
photo.jpg
bhooi.github.io/ |
171 KB 172 KB |
Image
image/jpeg |
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GET H2 |
jquery-1.12.4.min.js
code.jquery.com/ |
95 KB 33 KB |
Script
application/javascript |
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GET H/1.1 |
bootstrap.min.js
bhooi.github.io/dist/js/ |
39 KB 11 KB |
Script
application/javascript |
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GET H/1.1 |
ie10-viewport-bug-workaround.js
bhooi.github.io/assets/js/ |
651 B 1 KB |
Script
application/javascript |
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Verdicts & Comments Add Verdict or Comment
6 JavaScript Global Variables
These are the non-standard "global" variables defined on the window object. These can be helpful in identifying possible client-side frameworks and code.
function| structuredClone object| oncontextlost object| oncontextrestored function| $ function| jQuery object| jQuery1124095427359095225370 Cookies
Cookies are little pieces of information stored in the browser of a user. Whenever a user visits the site again, he will also send his cookie values, thus allowing the website to re-identify him even if he changed locations. This is how permanent logins work.
1 Console Messages
A page may trigger messages to the console to be logged. These are often error messages about being unable to load a resource or execute a piece of JavaScript. Sometimes they also provide insight into the technology behind a website.
Source | Level | URL Text |
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Indicators
This is a term in the security industry to describe indicators such as IPs, Domains, Hashes, etc. This does not imply that any of these indicate malicious activity.
bhooi.github.io
code.jquery.com
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2606:50c0:8001::153
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