ThreatsDay Bulletin covers AI abuse, poisoned packages, phishing, macOS attacks, SD-WAN flaws, scams, and supply-chain ...

On Monday, Russian users found they could no longer reach PyPI, the package repository that Python developers rely on for ...

If you work with AI APIs and local LLMs, there's a good chance you've at least heard of LiteLLM. It's one of the most popular Python libraries for interacting with large language models, offering a ...

The compromised packages, linked to the Trivy breach, executed a three‑stage payload targeting AWS, GCP, Azure, Kubernetes configs, SSH keys, and automation pipelines before being removed. PyPI is ...

Abstract: Existing data visualization tools predominantly rely on manual development or traditional software solutions to translate raw data into meaningful visual representations. However, these ...

Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

The goal of this project is to provide simple, portable and compatible code (data encrypted in Python can be decrypted in PHP, and so on). The encryption algorithm used is AES in CBC and CFB mode.

In the era of pervasive digital connectivity, image encryption has become a critical necessity for securing sensitive visual data against cyber threats, unauthorized access, and data breaches. Unlike ...

Python libraries simplify testing networks and detecting vulnerabilities in systems. Tools like YARA and Pymetasploit3 help identify malware and security weaknesses. Encryption and AI-focused ...