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A critical code-execution vulnerability almost affecting everyone those are not running the most updated version of Google Android , i.e. Android version 4.4 also known as KitKat. After nine months of vulnerability disclosure to the Android security team, researchers of the Application Security team at IBM have finally revealed all the possible details of a serious code-execution vulnerability that still affects the Android devices running versions 4.3 and earlier, which could allow attackers to exfiltrate sensitive information from the vulnerable devices. " Considering Android's fragmented nature and the fact that this was a code-execution vulnerability, we decided to wait a bit with the public disclosure ," said Roee Hay, a security research group leader at IBM. The researchers found the stack buffer overflow vulnerability that resides in the Android's KeyStore storage service, which according to the Android developers' website is the service code running in Androi...

Address space layout randomization (ASLR) is a security technique involved in protection from buffer overflow attacks. Many recent APT (Advanced Persistent Threat) attacks have utilized many different ASLR bypass techniques during the past year, according to Researchers at  FireEye . Many exploits and malware attacks rely on the ability of the programmer to accurately identify where specific processes or system functions reside in memory. In order for an attacker to exploit or leverage a function, they must first be able to tell their code where to find the function or process to exploit.  The goal of ASLR  is to introduce randomness into addresses used by a given task. It involves randomly arranging the positions of key data areas of a program, including the base of the executable and the positions of the stack, heap, and libraries, in a process's address space.  Today a lot of attention is brought to client side exploits especially inside web brows...

As SaaS providers race to integrate AI into their product offerings to stay competitive and relevant, a new challenge has emerged in the world of AI: shadow AI.  Shadow AI refers to the unauthorized use of AI tools and copilots at organizations. For example, a developer using ChatGPT to assist with writing code, a salesperson downloading an AI-powered meeting transcription tool, or a customer support person using Agentic AI to automate tasks – without going through the proper channels. When these tools are used without IT or the Security team's knowledge, they often lack sufficient security controls, putting company data at risk. Shadow AI Detection Challenges Because shadow AI tools often embed themselves in approved business applications via AI assistants, copilots, and agents they are even more tricky to discover than traditional shadow IT. While traditional shadow apps can be identified through network monitoring methodologies that scan for unauthorized connections based on...