Software Engineering | Breaking Cybersecurity News | The Hacker News

DALL-E for coders? That's the promise behind vibe coding, a term describing the use of natural language to create software. While this ushers in a new era of AI-generated code, it introduces "silent killer" vulnerabilities: exploitable flaws that evade traditional security tools despite perfect test performance. A detailed analysis of secure vibe coding practices is available here . TL;DR: Secure Vibe Coding Vibe coding, using natural language to generate software with AI, is revolutionizing development in 2025. But while it accelerates prototyping and democratizes coding, it also introduces "silent killer" vulnerabilities: exploitable flaws that pass tests but evade traditional security tools. This article explores: Real-world examples of AI-generated code in production Shocking stats: 40% higher secret exposure in AI-assisted repos Why LLMs omit security unless explicitly prompted Secure prompting techniques and tool comparisons (GPT-4, Claude, Cursor, etc.) Reg...

Ever felt like your team is stuck in a constant battle? Developers rush to add new features, while security folks worry about vulnerabilities. What if you could bring both sides together without sacrificing one for the other? We invite you to our upcoming webinar, " Opening the Fast Lane for Secure Deployments ." This isn't another tech talk full of buzzwords—it's a down-to-earth session that shows you practical ways to build security into your projects from the start. Many teams face a familiar problem: security checks at the end slow things down, but rushing ahead can leave dangerous gaps. It's not about choosing between fast or safe—it's about finding a way to do both. Join Sarit Tager, VP of Product Management at Palo Alto Networks, as he explains how to: Focus on What Matters: Learn how to spot and fix the most critical issues early. Work Without Roadblocks: See how to add smart security steps without stopping progress. Think Differently: Move from the ol...

Intel has released fixes to close out a high-severity flaw codenamed  Reptar  that impacts its desktop, mobile, and server CPUs. Tracked as  CVE-2023-23583  (CVSS score: 8.8), the  issue  has the potential to "allow escalation of privilege and/or information disclosure and/or denial of service via local access." Successful exploitation of the vulnerability could also permit a bypass of the CPU's security boundaries, according to Google Cloud, which described it as an issue stemming from how redundant prefixes are interpreted by the processor. "The impact of this vulnerability is demonstrated when exploited by an attacker in a multi-tenant virtualized environment, as the exploit on a guest machine causes the host machine to crash resulting in a Denial of Service to other guest machines running on the same host," Google Cloud's Phil Venables  said . "Additionally, the vulnerability could potentially lead to information disclosure or privilege escal...