The Hacker News | #1 Trusted Source for Cybersecurity News — Index Page

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Thursday disclosed that ransomware actors are targeting unpatched SimpleHelp Remote Monitoring and Management (RMM) instances to compromise customers of an unnamed utility billing software provider. "This incident reflects a broader pattern of ransomware actors targeting organizations through unpatched versions of SimpleHelp RMM since January 2025," the agency said in an advisory. Earlier this year, SimpleHelp disclosed a set of flaws (CVE-2024-57727, CVE-2024-57728, and CVE-2024-57726) that could result in information disclosure, privilege escalation, and remote code execution. The vulnerabilities have since come under repeated exploitation in the wild, including by ransomware groups like DragonForce, to breach targets of interest. Last month, Sophos revealed that a Managed Service Provider's SimpleHelp deployed was accessed by the threat actor using these flaws, and then leveraged it to pivot t...

Introduction: Security at a Tipping Point Security Operations Centers (SOCs) were built for a different era, one defined by perimeter-based thinking, known threats, and manageable alert volumes. But today’s threat landscape doesn’t play by those rules. The sheer volume of telemetry, overlapping tools, and automated alerts has pushed traditional SOCs to the edge. Security teams are overwhelmed, chasing indicators that often lead nowhere, while real risks go unnoticed in the noise. We’re not dealing with a visibility problem. We’re dealing with a relevance problem. That’s where Continuous Threat Exposure Management (CTEM) comes in. Unlike detection-centric operations that react to what’s already happened, CTEM shifts the focus from what could happen to “why it matters.” It’s a move away from reacting to alerts and toward managing risk with targeted, evidence-based actions. The Problem with Alert-Centric Security At its core, the SOC is a monitoring engine. It digests input from f...

Apple has disclosed that a now-patched security flaw present in its Messages app was actively exploited in the wild to target civil society members in sophisticated cyber attacks. The vulnerability, tracked as CVE-2025-43200, was addressed on February 10, 2025, as part of iOS 18.3.1, iPadOS 18.3.1 , iPadOS 17.7.5 , macOS Sequoia 15.3.1 , macOS Sonoma 14.7.4 , macOS Ventura 13.7.4 , watchOS 11.3.1 , and visionOS 2.3.1 . "A logic issue existed when processing a maliciously crafted photo or video shared via an iCloud Link," the company said in an advisory, adding the vulnerability was addressed with improved checks. The iPhone maker also acknowledged that it's aware the vulnerability "may have been exploited in an extremely sophisticated attack against specifically targeted individuals." It's worth noting that the iOS 18.3.1, iPadOS 18.3.1, and iPadOS 17.7.5 updates also resolved another actively exploited zero-day tracked as CVE-2025-24200. It's curr...

The threat actors behind the VexTrio Viper Traffic Distribution Service (TDS) have been linked to other TDS services like Help TDS and Disposable TDS, indicating that the sophisticated cybercriminal operation is a sprawling enterprise of its own that's designed to distribute malicious content. "VexTrio is a group of malicious adtech companies that distribute scams and harmful software via different advertising formats, including smartlinks and push notifications," Infoblox said in a deep-dive report shared with The Hacker News. Some of the malicious adtech companies under VexTrio Viper include Los Pollos, Taco Loco, and Adtrafico. These companies operate what's called a commercial affiliate network that connects malware actors whose websites unsuspecting users land on and so-called "advertising affiliates" who offer various forms of illicit schemes like gift card fraud, malicious apps, phishing sites, and scams. Put differently, these malicious traffi...

Cybersecurity researchers have discovered a novel attack technique called TokenBreak that can be used to bypass a large language model's (LLM) safety and content moderation guardrails with just a single character change. "The TokenBreak attack targets a text classification model's tokenization strategy to induce false negatives, leaving end targets vulnerable to attacks that the implemented protection model was put in place to prevent," Kieran Evans, Kasimir Schulz, and Kenneth Yeung said in a report shared with The Hacker News. Tokenization is a fundamental step that LLMs use to break down raw text into their atomic units – i.e., tokens – which are common sequences of characters found in a set of text. To that end, the text input is converted into their numerical representation and fed to the model.  LLMs work by understanding the statistical relationships between these tokens, and produce the next token in a sequence of tokens. The output tokens are detokeni...

AI is changing everything — from how we code, to how we sell, to how we secure. But while most conversations focus on what AI can do, this one focuses on what AI can break — if you’re not paying attention. Behind every AI agent, chatbot, or automation script lies a growing number of non-human identities — API keys, service accounts, OAuth tokens — silently operating in the background. And here’s the problem: 🔐 They’re invisible 🧠 They’re powerful 🚨 They’re unsecured In traditional identity security, we protect users. With AI, we’ve quietly handed over control to software that impersonates users — often with more access, fewer guardrails, and no oversight. This isn’t theoretical. Attackers are already exploiting these identities to: Move laterally through cloud infrastructure Deploy malware via automation pipelines Exfiltrate data — without triggering a single alert Once compromised, these identities can silently unlock critical systems. You don’t get a second cha...