GenAI | Breaking Cybersecurity News | The Hacker News

Russian-speaking users have been targeted as part of a new campaign distributing a commodity trojan called DCRat (aka DarkCrystal RAT) by means of a technique known as HTML smuggling . The development marks the first time the malware has been deployed using this method, a departure from previously observed delivery vectors such as compromised or fake websites, or phishing emails bearing PDF attachments or macro-laced Microsoft Excel documents. "HTML smuggling is primarily a payload delivery mechanism," Netskope researcher Nikhil Hegde said in an analysis published Thursday. "The payload can be embedded within the HTML itself or retrieved from a remote resource." The HTML file, in turn, can be propagated via bogus sites or malspam campaigns. Once the file is launched via the victim's web browser, the concealed payload is decoded and downloaded onto the machine. The attack subsequently banks on some level of social engineering to convince the victim to ope

GenAI has become a table stakes tool for employees, due to the productivity gains and innovative capabilities it offers. Developers use it to write code, finance teams use it to analyze reports, and sales teams create customer emails and assets. Yet, these capabilities are exactly the ones that introduce serious security risks. Register to our upcoming webinar to learn how to prevent GenAI data leakage When employees input data into GenAI tools like ChatGPT, they often do not differentiate between sensitive and non-sensitive data. Research by LayerX indicates that one in three employees who use GenAI tools, also share sensitive information. This could include source code, internal financial numbers, business plans, IP, PII, customer data, and more. Security teams have been trying to address this data exfiltration risk ever since ChatGPT tumultuously entered our lives in November 2022. Yet, so far the common approach has been to either "allow all" or "block all", i.e allow the use

For years, securing a company's systems was synonymous with securing its "perimeter." There was what was safe "inside" and the unsafe outside world. We built sturdy firewalls and deployed sophisticated detection systems, confident that keeping the barbarians outside the walls kept our data and systems safe. The problem is that we no longer operate within the confines of physical on-prem installations and controlled networks. Data and applications now reside in distributed cloud environments and data centers, accessed by users and devices connecting from anywhere on the planet. The walls have crumbled, and the perimeter has dissolved, opening the door to a new battlefield: identity . Identity is at the center of what the industry has praised as the new gold standard of enterprise security: "zero trust." In this paradigm, explicit trust becomes mandatory for any interactions between systems, and no implicit trust shall subsist. Every access request, regardless of its origin,

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

The introduction of Open AI's ChatGPT was a defining moment for the software industry, touching off a GenAI race with its November 2022 release. SaaS vendors are now rushing to upgrade tools with enhanced productivity capabilities that are driven by generative AI. Among a wide range of uses, GenAI tools make it easier for developers to build software, assist sales teams in mundane email writing, help marketers produce unique content at low cost, and enable teams and creatives to brainstorm new ideas.  Recent significant GenAI product launches include Microsoft 365 Copilot, GitHub Copilot, and Salesforce Einstein GPT. Notably, these GenAI tools from leading SaaS providers are paid enhancements, a clear sign that no SaaS provider will want to miss out on cashing in on the GenAI transformation. Google will soon launch its SGE "Search Generative Experience" platform for premium AI-generated summaries rather than a list of websites.  At this pace, it's just a matter of a short time befo

A company's lifecycle stage, size, and state have a significant impact on its security needs, policies, and priorities. This is particularly true for modern mid-market companies that are either experiencing or have experienced rapid growth. As requirements and tasks continue to accumulate and malicious actors remain active around the clock, budgets are often stagnant at best. Yet, it is crucial to keep track of the tools and solutions that employees are introducing, the data and know-how shared through these tools, and to ensure that these processes are secure. This need is even more pronounced in today's dynamic and interconnected world, where third-party applications and solutions can be easily accessed and onboarded. The potential damage of losing control over the numerous applications with access and permissions to your data requires no explanation. Security leaders in mid-market companies face a unique set of challenges that demand a distinct approach to overcome.  To begin

Wing Security announced today that it now offers  free discovery and a paid tier for automated control  over thousands of AI and AI-powered SaaS applications. This will allow companies to better protect their intellectual property (IP) and data against the growing and evolving risks of AI usage. SaaS applications seem to be multiplying by the day, and so does their integration of AI capabilities. According to Wing Security, a SaaS security company that researched over 320 companies, a staggering 83.2% use GenAI applications. While this statistic might not come as a surprise, the research showed that 99.7% of organizations use SaaS applications that leverage AI capabilities to deliver their services. This usage of GenAI in SaaS applications that are not 'pure' AI often goes unnoticed by security teams and users alike. 70% of the most popular GenAI applications may use your data to train their models, and in many cases it's completely up to you to configure it differently

Generative AI will enable anyone to launch sophisticated phishing attacks that only Next-generation MFA devices can stop The least surprising headline from 2023 is that ransomware again set new records for a number of incidents and the damage inflicted. We saw new headlines every week, which included a who's-who of big-name organizations. If MGM, Johnson Controls, Chlorox, Hanes Brands, Caesars Palace, and so many others cannot stop the attacks, how will anyone else? Phishing-driven ransomware is the cyber threat that looms larger and more dangerous than all others. CISA and Cisco report that 90% of data breaches are the result of phishing attacks and monetary losses that exceed $10 billion in total. A report from Splunk revealed that 96 percent of companies fell victim to at least one phishing attack in the last 12 months and 83 percent suffered two or more. Protect your organization from phishing and ransomware by learning about the benefits of Next-Generation MFA. Download th