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Category — data science
Hackers Hijack Unsecured Jupyter Notebooks to Stream Illegal Sports Broadcasts

Hackers Hijack Unsecured Jupyter Notebooks to Stream Illegal Sports Broadcasts

Nov 19, 2024 Cloud Security / Piracy
Malicious actors are exploiting misconfigured JupyterLab and Jupyter Notebooks to conduct stream ripping and enable sports piracy using live streaming capture tools. The attacks involve the hijack of unauthenticated Jupyter Notebooks to establish initial access, and perform a series of actions designed to facilitate illegal live streaming of sports events, Aqua said in a report shared with The Hacker News. The covert piracy campaign within interactive environments widely used for data science applications was discovered by the cloud security firm following an attack against its honeypots. "First, the attacker updated the server, then downloaded the tool FFmpeg ," said Assaf Morag, director of threat intelligence at cloud security firm Aqua. "This action alone is not a strong enough indicator for security tools to flag malicious activity." "Next, the attacker executed FFmpeg to capture live streams of sports events and redirected them to their server....
Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms

Researchers Identify Over 20 Supply Chain Vulnerabilities in MLOps Platforms

Aug 26, 2024 ML Security / Artificial Intelligence
Cybersecurity researchers are warning about the security risks in the machine learning (ML) software supply chain following the discovery of more than 20 vulnerabilities that could be exploited to target MLOps platforms. These vulnerabilities, which are described as inherent- and implementation-based flaws, could have severe consequences, ranging from arbitrary code execution to loading malicious datasets. MLOps platforms offer the ability to design and execute an ML model pipeline, with a model registry acting as a repository used to store and version-trained ML models. These models can then be embedded within an application or allow other clients to query them using an API (aka model-as-a-service). "Inherent vulnerabilities are vulnerabilities that are caused by the underlying formats and processes used in the target technology," JFrog researchers said in a detailed report. Some examples of inherent vulnerabilities include abusing ML models to run code of the attacker...
Majority of Browser Extensions Can Access Sensitive Enterprise Data, New Report Finds

Majority of Browser Extensions Can Access Sensitive Enterprise Data, New Report Finds

Apr 15, 2025Data Privacy / Enterprise Security
Everybody knows browser extensions are embedded into nearly every user's daily workflow, from spell checkers to GenAI tools. What most IT and security people don't know is that browser extensions' excessive permissions are a growing risk to organizations. LayerX today announced the release of the Enterprise Browser Extension Security Report 2025 , This report is the first and only report to merge public extension marketplace statistics with real-world enterprise usage telemetry. By doing so, it sheds light on one of the most underestimated threat surfaces in modern cybersecurity: browser extensions. The report reveals several findings that IT and security leaders will find interesting, as they build their plans for H2 2025. This includes information and analysis on how many extensions have risky permissions, which kinds of permissions are given, if extension developers are to be trusted, and more. Below, we bring key statistics from the report. Highlights from the Enterprise Browse...
Summary of "AI Leaders Spill Their Secrets" Webinar

Summary of "AI Leaders Spill Their Secrets" Webinar

Jul 19, 2024 Technology / Artificial Intelligence
Event Overview The " AI Leaders Spill Their Secrets " webinar, hosted by Sigma Computing, featured prominent AI experts sharing their experiences and strategies for success in the AI industry. The panel included Michael Ward from Sardine, Damon Bryan from Hyperfinity, and Stephen Hillian from Astronomer, moderated by Zalak Trivedi, Sigma Computing's Product Manager. Key Speakers and Their Backgrounds 1. Michael Ward Senior Risk Data Analyst at Sardine. Over 25 years of experience in software engineering. Focuses on data science, analytics, and machine learning to prevent fraud and money laundering. 2. Damon Bryan Co-founder and CTO at Hyperfinity. Specializes in decision intelligence software for retailers and brands. Background in data science, AI, and analytics, transitioning from consultancy to a full-fledged software company. 3. Stephen Hillion SVP of Data and AI at Astronomer. Manages data science teams and focuses on the development and scaling of...
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Mastering AI Security: Your Essential Guide

websiteWizAI Security / Posture Management
Learn how to secure your AI pipelines and stay ahead of AI-specific risks at every stage with these best practices.
Scientists Store One Bit of Data on a Single Atom — Future of Data Storage

Scientists Store One Bit of Data on a Single Atom — Future of Data Storage

Mar 13, 2017
Imagine a pocket-sized hard drive capable of storing the entire list of 35 Million Songs? This isn't yet practical, but IBM has just taken a big step towards improving computing technology: IBM researchers just discovered a way to store data on a single atom. Data storage is undergoing dramatic evolution, recently researchers successfully stored digital data — an entire operating system, a movie, an Amazon gift card, a study and a computer virus — in strands of DNA. The IBM Research results announced Wednesday that the researchers have developed the world's smallest magnet using a single atom and they packed it with one bit of digital data. Currently, hard drives use about 100,000 atoms to store a single bit of information — a 1 or 0 — using traditional methods. So, this breakthrough could allow people to store 1,000 times more information in the same amount of space in the future applications. Scientists Store 1 Bit of data on a single Atom, whereas modern hard dri...
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