Cisco warned customers today of an unpatched, maximum-severity Cisco AsyncOS zero-day actively exploited in attacks targeting Secure Email Gateway (SEG) and Secure Email and Web Manager (SEWM) appliances. […] Read More
The remote access Trojan lets an attacker remotely control a victim’s phone and can generate malicious apps from inside the Play Store. Read More
French authorities arrested a 22-year-old suspect on Tuesday for a cyberattack that targeted France’s Ministry of the Interior earlier this month. […] Read More
SonicWall has rolled out fixes to address a security flaw in Secure Mobile Access (SMA) 100 series appliances that it said has been actively exploited in the wild. The vulnerability, tracked as CVE-2025-40602 (CVSS score: 6.6), concerns a case of local privilege escalation that arises as a result of insufficient authorization in the appliance management […]
Threat actors are abusing the legitimate device-linking feature to hijack WhatsApp accounts via pairing codes in a campaign dubbed GhostPairing. […] Read More
A new distributed denial-of-service (DDoS) botnet known as Kimwolf has enlisted a massive army of no less than 1.8 million infected devices comprising Android-based TVs, set-top boxes, and tablets, and may be associated with another botnet known as AISURU, according to findings from QiAnXin XLab. “Kimwolf is a botnet compiled using the NDK [Native Development […]
Anthropic proves that LLMs can be fairly resistant to abuse. Most developers are either incapable of building safer tools, or unwilling to invest in doing so. Read More
The Real Cost of Inaction: How Silos Hurt Productivity for Data Scientists (Sponsored)KDnuggets The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy.
The overarching goal is to maximize the return on analytical talent, shifting their focus entirely from data preparation to predictive model development, which is a necessary move if the business intends to compete in an AI-driven economy. Read More
A Practical Toolkit for Time Series Anomaly Detection, Using PythonTowards Data Science Here’s how to detect point anomalies within each series, and identify anomalous signals across the whole bank
The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science.
Here’s how to detect point anomalies within each series, and identify anomalous signals across the whole bank
The post A Practical Toolkit for Time Series Anomaly Detection, Using Python appeared first on Towards Data Science. Read More
How to Handle Large Datasets in Python Even If You’re a BeginnerKDnuggets You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you’re a beginner.
You don’t need advanced skills to work with large datasets. With Python’s built-in features and libraries, you can handle large datasets without breaking a sweat even if you’re a beginner. Read More
