Threats tagged 'rce'

As frontier AI models collapse the traditional exploit window, Tenable Hexa AI transforms the security operating model from manual triage to agentic orchestration. See how you can automate vulnerability remediation and super-charge exposure management with Tenable Hexa AI. Key takeaways AI models like Claude Mythos have reduced the time from vulnerability discovery to weaponization from weeks to minutes, making manual defense untenable. Tenable Hexa AI serves as an agentic engine that orchestrates complex, multi-step remediation workflows across modern attack surfaces to accelerate the speed of preemptive security and propel your exposure management program. Using the Model Context Protocol (MCP) included in Tenable Hexa AI, your team can build and deploy custom agents that anchor your preferred LLMs in the Tenable Exposure Data Fabric, ensuring every automated action is governed, auditable, and accurate. Why you need to implement agentic AI in cybersecurity (and specifically, in vulnerability management) For most of my career in cybersecurity, we’ve operated on a fundamental, if unspoken, assumption: We had a grace period. Whenever a new vulnerability was discovered, we knew we had time, often weeks or months, before adversaries would begin exploiting it. The time between vulnerability discovery and exploitation gave us breathing room. It gave us time to patch, triage, and remediate. But not any more. The gap between discovery and exploitation has been shrinking for years, and the vulnerability discovery capabilities demonstrated by frontier AI models like Claude Mythos are narrowing it even more. We have entered the era of AI speed. When an LLM can unearth a 27-year-old vulnerability in a hardened OS in minutes, and then weaponize it in seconds, old defensive cycles can’t keep up, and that’s untenable. This is why I’m so excited to announce the general availability of Tenable Hexa AI , the agentic engine of the Tenable One Exposure Management Platform , at EXPOSURE 2026 : because it’s designed to help your organization address the escalating, AI-driven pace of vulnerability discovery. The agentic AI imperative in cybersecurity: Scale your preemptive defense to match machine speed with agentic innovation from Tenable Tenable Hexa AI is built to be a force multiplier and a flexible engine for innovation. Featuring a suite of built-in agents ready to automate assessment configuration, asset tagging, dashboard creation, ticket creation, and more, Tenable Hexa AI is designed to help your organization overcome the operational challenges deepened by adversarial AI use. When the window between discovery and exploitation hits near-zero, security teams locked in manual vulnerability management operating models are forced into a state of perpetual emergency. Manually stitching together context and telemetry from cloud, identity, OT, and vulnerability silos in an arduous effort to prioritize remediation for downstream IT and DevOps teams is a losing battle. And when you can’t provide clear, risk-based remediation priorities to IT and DevOps teams, you end up bombarding them with seemingly urgent tickets that may not in fact be critical to your organization. Constant shifts in remediation priorities and endless debates over what needs fixing and why is not sustainable. It creates friction and causes you to lose the cybersecurity race. In a world where attackers move at machine speed, only comprehensive exposure intelligence combined with the agentic AI orchestration capabilities provided by the Tenable One Exposure Management Platform can give you clarity and control. Tenable Hexa AI doesn’t just tell you where you are vulnerable; it mobilizes your preemptive defense. Capabilities of Tenable Hexa AI With this GA release, Tenable delivers foundational capabilities to help your organization accelerate the pace of vulnerability discovery and remediation, including: Your choice of agents - Use our pre-built, out-of-the-box agents to start reducing risk immediately, or use the Model Context Protocol (MCP) server built into Tenable Hexa AI to create custom agents tailored to your organization’s environment. Advanced multi-step reasoning - Tenable Hexa AI executes complex, end-to-end workflows spanning your attack surface (e.g., IT, cloud, identity, OT, etc.) in a single request, eliminating the need for practitioners to toggle between views to get exposure context. It understands that a CVE in your web app is a critical threat specifically because it is linked to a privileged service account with a path to your sensitive data. Automated remediation workflows - Tenable Hexa AI orchestrates remediation workflows, automatically creating and routing tickets, generating custom policies, and producing audit-ready reports, so security teams can act fast on every critical exposure. End-to-end exposure path insights - Practitioners can query their environment by identity attributes, such as service accounts, privileged users, and Active Directory groups, to surface exposure paths that traditional asset inventories miss. Tenable Hexa AI also provides guided assistance for complex Active Directory sensor configurations. Build your own AI agents for cybersecurity with Tenable Hexa AI In addition to out-of-the-box agentic capabilities for use cases like automated assessment configuration, asset tagging, and ticket creation, customers can also build custom agents via Tenable Hexa AI's built-in MCP that are informed by your organization’s unique security policies and internal business logic. Tenable Hexa AI serves as the orchestration layer connecting your favorite AI tools to your infrastructure and other security tools, all with the data and context from the Tenable Exposure Data Fabric. By anchoring the models your organization uses in the authoritative context of your own environment, Tenable Hexa AI moves you beyond generic AI answers to governed and auditable automation. Whether you are automating complex remediation or generating board-ready dashboards, Tenable Hexa AI ensures the output is both verifiable and auditable. The Tenable Exposure Data Fabric is key because an agent is only as effective as the data it has access to. Tenable Hexa AI is powered by the Tenable Exposure Data Fabric, a repository of 20 years of vulnerability research and the industry’s largest collection of contextualized exposure data. In other words, we’ve built an agentic engine for cybersecurity that uses the world’s best exposure data to drive machine-speed actions. This is the only way to ensure your AI is validating the real state of your environment, rather than just guessing. Real-world agentic AI use cases for Tenable Hexa AI While there are virtually infinite ways to apply agentic orchestration to your unique cybersecurity challenges, here are four high-impact areas where manual workflows traditionally break down and make it impossible for you to keep pace with AI-powered vulnerability discovery: Supply chain response - Neutralize third-party threats by using Tenable Hexa AI to correlate software components with affected internal assets. Automated patching - Use custom Hexa agents to beat the Mythos clock by orchestrating patches the moment a vulnerability is validated. Remediation assignment - Use Tenable Hexa AI to automatically match CVEs to asset owners in seconds and trigger immediate response workflows. These use cases demonstrate how Tenable Hexa AI can bridge the gap between exposure intelligence and action. Make the untenable Tenable The collapse of the exploit window is a wake-up call. It gives us the opportunity to change how we work. By shifting from manual triage to agentic orchestration, organizations are seeing a shift in productivity and how they prioritize and action exposure reduction. While early design partners have already reclaimed days per month on foundational tasks like asset tagging, the value is not found solely in the hours saved, but rather, in the precision of the response. By automating the correlation between cloud, identity, AI, OT, and vulnerability data, Tenable One provides the clear, contextualized instructions that IT and DevOps teams need to act with confidence. This eliminates the administrative friction and back-and-forth negotiation that often results in critical vulnerabilities going unaddressed. Reclaiming those days means your best people are no longer buried in spreadsheets; they are focused on high-impact strategy, architecture hardening, and preemptive defense. Tenable Hexa AI is available today as part of the Tenable One Foundation and Tenable One Advanced packages .

As enterprises rush AI projects into production, security teams are increasingly being forced into reactive mode. The post Caught Off Guard: Securing AI After It Hits Production appeared first on SecurityWeek .

Cisco Talos’ Vulnerability Discovery & Research team recently disclosed eight vulnerabilities in TP-Link, and one each in Adobe Photoshop, OpenVPN, and Gen Digital's Norton VPN. The vulnerabilities mentioned in this blog post have been patched by their respective vendors, in adherence to Cisco’s third-party vulnerability

The 2026 Verizon Data Breach Investigations Report (DBIR) reveals that vulnerability exploitation has become the leading initial access vector for breaches, responsible for 31% of incidents. Meanwhile, organizations are patching vulnerabilities more slowly, with median time-to-patch increasing by 34% to 43 days. The volume of vulnerabilities continues to grow rapidly, driven in part by AI-powered tools that accelerate vulnerability discovery. This creates a widening gap between vulnerability disclosure and remediation, exacerbating the risk of exploitation. The report highlights the critical need for comprehensive exposure management that prioritizes risks based on context rather than attempting to patch all vulnerabilities indiscriminately. It also notes that credential abuse and misconfigurations compound the exposure problem. The findings underscore a systemic challenge in traditional patch-based defense models, especially as AI accelerates both vulnerability discovery and exploitation.

The Shai-Hulud malware source code leak has led to the emergence of copycat malware targeting the npm ecosystem. This situation increases the risk of new malware variants appearing that mimic the original Shai-Hulud worm. The leak was reported on Reddit's cybersecurity community and has been identified as a medium-severity threat due to its potential to facilitate remote code execution (RCE) attacks through malicious npm packages. No specific affected versions or exploits in the wild have been confirmed. There is no information about available patches or official remediation. The threat is primarily notable for increasing the volume and diversity of npm malware through source code reuse.

Multiple vulnerabilities have been reported in the SEPPMail Secure E-Mail Gateway that could allow remote code execution (RCE) and unauthorized access to mail traffic. The information is sourced from a Reddit cybersecurity discussion referencing an external news article. No specific affected versions or detailed technical data are provided. There is no indication of known exploits in the wild or available patches. The severity is assessed as medium based on the potential impact of RCE and mail traffic access.

For the latest discoveries in cyber research for the week of 18th May, please download our Threat Intelligence Bulletin. TOP ATTACKS AND BREACHES Vodafone, a major international telecom, has sustained a source code leak claimed by the Lapsus$ extortion group. The company confirmed limited access to GitHub files through compromised third-party development software, while stating that […] The post 18th May – Threat Intelligence Report appeared first on Check Point Research .

The hackers claimed to have stolen more than 600,000 Salesforce records, including personal information and corporate data. The post 7-Eleven Data Breach Confirmed After ShinyHunters Ransom Demand appeared first on SecurityWeek .

At least one threat actor has adopted the recently released malware source code in attacks against NPM developers. The post First Shai-Hulud Worm Clones Emerge appeared first on SecurityWeek .

Introduced in 2008, the critical-severity security defect was patched this week in NGINX Plus and NGINX open source. The post PoC Code Published for Critical NGINX Vulnerability appeared first on SecurityWeek .

The Gremlin Stealer malware has evolved to use advanced obfuscation techniques, including hiding malicious code within resource files, crypto clipping, and session hijacking to compromise data. This evolution allows it to evade detection by traditional security measures by hiding in plain sight. The threat is categorized as medium severity and involves remote code execution (RCE) tactics. There are no known exploits in the wild at this time, and no specific affected software versions or patches are identified. The analysis is based on a detailed Unit 42 report from Palo Alto Networks.

The hacking group is encouraging miscreants to use the code in supply chain attacks, promising monetary rewards. The post TeamPCP Ups the Game, Releases Shai-Hulud Worm’s Source Code appeared first on SecurityWeek .

This threat discussion focuses on the risk posed by forgotten or 'zombie' cloud infrastructure assets that remain in an environment but are no longer in production. These zombie assets increase the attack surface and cyber risk for organizations while also contributing to unnecessary cloud costs. The described solution, Tenable Hexa AI, uses agentic AI to identify and eliminate these forgotten cloud assets, thereby reducing risk and cost. There is no indication of an active exploit or vulnerability in this data, rather it highlights a security risk related to cloud asset management.

Independent benchmarking finds Mythos highly effective for source code audits, reverse engineering, and native-code analysis, though its exploit validation and reasoning capabilities remain inconsistent. The post Mythos Proves Potent in Vulnerability Discovery, Less Convincing Elsewhere appeared first on SecurityWeek .

This analysis addresses the evolving security challenges faced by data centers in the era of agentic AI, where AI systems autonomously execute business decisions. Data centers have become critical national infrastructure, integrating legacy operational technology (OT) and extended IoT (xIoT) devices that were not originally designed with modern security in mind. The threat landscape includes AI-powered attacks targeting both digital assets and physical infrastructure, such as cooling and power systems, potentially causing operational denial and costly downtime. Attackers may exploit vulnerabilities in third-party vendor portals or engineering workstations to pivot into process control layers, disrupting physical systems. The complexity of securing data centers is heightened by the need to maintain near-perfect uptime while managing rapid patch cycles and protecting identity-based network communications. Regulatory frameworks increasingly require continuous, real-time monitoring and proactive exposure management across IT, OT, identity, and AI domains. A comprehensive security strategy involves asset discovery, attack path anticipation, risk prioritization, identity perimeter protection, third-party risk monitoring, and compliance streamlining.

More than 500 packages were pushed during the attack, but the target appears to have been RubyGems itself rather than users. The post Hundreds of Malicious Packages Force RubyGems to Suspend Registrations appeared first on SecurityWeek .

The flaws could allow attackers to inject malicious code, leading to information disclosure and code execution. The post SAP Patches Critical S/4HANA, Commerce Vulnerabilities appeared first on SecurityWeek .

A few months ago, I implemented Cloudflare&&#x23&#x3b;x26&#x3b;&#x23&#x3b;39&#x3b;s Turnstile CAPTCHA on some pages. The reason for implementing these CAPTCHAs is obvious: Bots make up a large percentage of traffic and affect site performance.

Mitiga researchers say attackers can silently redirect Claude Code MCP traffic, intercept OAuth tokens, and maintain persistent access to connected SaaS platforms. The post Claude Code OAuth Tokens Can Be Stolen Through Stealthy MCP Hijacking appeared first on SecurityWeek .

Cisco’s AI security researchers have analyzed ways to target vision-language models (VLMs) using pixel-level perturbation. The post Attackers Could Exploit AI Vision Models Using Imperceptible Image Changes appeared first on SecurityWeek .