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TeamViewer on Thursday disclosed it detected an "irregularity" in its internal corporate IT environment on June 26, 2024. "We immediately activated our response team and procedures, started investigations together with a team of globally renowned cyber security experts and implemented necessary remediation measures," the company said in a statement. It further noted that its corporate IT environment is completely cut off from the product environment and that there is no evidence to indicate that any customer data has been impacted as a result of the incident. It did not disclose any details as to who may have been behind the intrusion and how they were able to pull it off, but said an investigation is underway and that it would provide status updates as and when new information becomes available. TeamViewer, based in Germany, is the maker of remote monitoring and management (RMM) software that allows managed service providers (MSPs) and IT departments to mana...

The peer-to-peer malware botnet known as P2PInfect has been found targeting misconfigured Redis servers with ransomware and cryptocurrency miners. The development marks the threat's transition from what appeared to be a dormant botnet with unclear motives to a financially motivated operation. "With its latest updates to the crypto miner, ransomware payload, and rootkit elements, it demonstrates the malware author’s continued efforts into profiting off their illicit access and spreading the network further, as it continues to worm across the internet," Cado Security said in a report published this week. P2PInfect came to light nearly a year ago, and has since received updates to target MIPS and ARM architectures. Earlier this January, Nozomi Networks uncovered the use of the malware to deliver miner payloads. It typically spreads by targeting Redis servers and its replication feature to transform victim systems into a follower node of the attacker-controlled server...

While some SaaS threats are clear and visible, others are hidden in plain sight, both posing significant risks to your organization. Wing's research indicates that an astounding 99.7% of organizations utilize applications embedded with AI functionalities. These AI-driven tools are indispensable, providing seamless experiences from collaboration and communication to work management and decision-making. However, beneath these conveniences lies a largely unrecognized risk: the potential for AI capabilities in these SaaS tools to compromise sensitive business data and intellectual property (IP). Wing's recent findings reveal a surprising statistic: 70% of the top 10 most commonly used AI applications may use your data for training their models. This practice can go beyond mere data learning and storage. It can involve retraining on your data, having human reviewers analyze it, and even sharing it with third parties. Often, these threats are buried deep in the fine print of Term...

Cybersecurity researchers have disclosed a high-severity security flaw in the Vanna.AI library that could be exploited to achieve remote code execution vulnerability via prompt injection techniques. The vulnerability, tracked as CVE-2024-5565 (CVSS score: 8.1), relates to a case of prompt injection in the "ask" function that could be exploited to trick the library into executing arbitrary commands, supply chain security firm JFrog said . Vanna is a Python-based machine learning library that allows users to chat with their SQL database to glean insights by "just asking questions" (aka prompts) that are translated into an equivalent SQL query using a large language model (LLM). The rapid rollout of generative artificial intelligence (AI) models in recent years has brought to the fore the risks of exploitation by malicious actors, who can weaponize the tools by providing adversarial inputs that bypass the safety mechanisms built into them. One such prominent clas...

Did you know it’s now possible to build blockchain applications, known also as decentralized applications (or “dApps” for short) in native Python? Blockchain development has traditionally required learning specialized languages, creating a barrier for many developers… until now. AlgoKit , an all-in-one development toolkit for Algorand, enables developers to build blockchain applications in pure Python. This article will walk you through the benefits of building blockchain applications, why Python is an ideal choice for dApp development, how to set up your blockchain development environment, and how to start building secure blockchain applications in native Python.  Why build blockchain applications?  Blockchain application development goes far beyond creating a decentralized database and peer-to-peer transactions. It unlocks a new level of trust, security, and efficiency for various applications. Guarantee tamper-proof records: Blockchain creates an immutable and transpar...