From Langflow to Monero: Inside CVE-2026-33017 Cryptominer
We tracked a cryptocurrency-mining campaign exploiting CVE-2026-33017, which revealed how threat actors are now scanning exposed AI application infrastructure for their next foothold.
Stay informed on the latest exposure risks in information security. Expert analysis, breach updates, and data leak prevention tips. Stay secure!
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Background for this topic.
Exposure is the condition in which a system, service, credential, vulnerability, or sensitive information is accessible or discoverable by people or systems that should not reach it. In threat modeling, it describes an attack surface or loss of control—not proof that an attacker has succeeded. Examples include an internet-facing administration interface, cloud storage with unintended permissions, a secret committed to source code, or personal data sent to an unintended recipient. Its significance depends on what is exposed, who can reach it, and which protections remain.
The primary defense is exposure reduction: maintain an accurate asset inventory, remove unnecessary public access, enforce least-privilege permissions and strong authentication, patch externally reachable software, and revoke leaked credentials or secrets. Encryption can limit the value of exposed data, but does not correct an exposed access path. Continuous scanning and log review help identify changes and support rapid containment when exposure is discovered.
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We tracked a cryptocurrency-mining campaign exploiting CVE-2026-33017, which revealed how threat actors are now scanning exposed AI application infrastructure for their next foothold.
This year’s Pwn2Own competition in Berlin revealed just how much of the AI stack remains exposed -- and the gap between what these tools promise and what they can withstand point to the fragile security foundations underneath.
An OAuth supply chain compromise at Vercel exposed how trusted third party apps and platform environment variables can bypass traditional defenses and amplify blast radius. This article examines the attack chain, underlying design tradeoffs, and what it reveals about modern PaaS and software supply chain risk.
A packaging error in Anthropic’s Claude Code npm release briefly exposed internal source code. This entry examines how threat actors rapidly weaponized the resulting attention, pivoting an existing AI-themed campaign to spread Vidar and GhostSocks.
A packaging error in Anthropic’s Claude Code npm release briefly exposed internal source code. This entry examines how threat actors rapidly weaponized the resulting attention, pivoting an existing AI-themed campaign to spread Vidar and GhostSocks.
Not every cloud breach starts with malware or a zero-day. In this incident, attackers discovered an exposed Spring Boot Actuator endpoint, harvested credentials from leaked configuration data, then used the OAuth2 Resource Owner Password Credentials (ROPC) flow to authenticate without MFA.
Learn how to strategically tackle human risk for smarter prioritization and lasting behavioral change.
A targeted underground doxxing campaign exposed alleged core members of Lumma Stealer (Water Kurita), resulting in a sharp decline in its activity and a migration of customers to rival infostealer platforms
We discovered Azure Storage Account credentials exposed in Axis Communications’ Autodesk Revit plugin, allowing unauthorized modification of cloud-hosted files. This exposure, combined with vulnerabilities in Autodesk Revit, could enable supply-chain attacks targeting end users.
A single AI chatbot breach at Salesloft-Drift exposed data from 700+ companies, including security leaders. The attack shows how AI integrations expand risk, and why controls like IP allow-listing, token security, and monitoring are critical.
Trend™ Research’s analysis of Wondershare RepairIt reveals how the AI-driven app exposed sensitive user data due to unsecure cloud storage practices and hardcoded credentials, creating risks of model tampering and supply chain attacks.
Trend Research uncovered misconfigurations in NVIDIA Riva deployments, with two vulnerabilities, CVE-2025-23242 and CVE-2025-23243, contributing to their exposure. These security flaws could lead to unauthorized access, resource abuse, and potential misuse or theft of AI-powered inference services, including speech recognition and text-to-speech processing.
In today’s fast-paced digital world, cyber threats are constantly evolving. Attackers are leveraging advanced techniques and artificial intelligence (AI) to exploit vulnerabilities, leaving organizations vulnerable to breaches and disruptions. To combat these challenges, organizations must stay vigilant and implement more proactive cybersecurity measures. This is where our Cyber Risk Advisory service, powered by the Trend Vision One™ Cyber Risk Exposure Management (CREM) solution, step in to provide a strategic edge.
Cyber threats evolve daily, and organizations need to move beyond traditional security approaches to stay ahead. That’s why Continuous Threat Exposure Management (CTEM), a concept introduced by Gartner, has been gaining traction. CTEM isn’t just another cybersecurity buzzword; it’s a structured, continuous program designed to help organizations identify, assess, and mitigate security risks proactively. If you’re considering implementing a CTEM program, Trend Vision One TM Cyber Risk Exposure Management (CREM) solution—formerly known as Attack Surface Risk Management (ASRM)—can give you a significant head start.
Our research into Retrieval Augmented Generation (RAG) systems uncovered at least 80 unprotected servers. We highlight this problem, which can lead to potential data loss and unauthorized access.
We observed an unknown threat actor abusing exposed Docker remote API servers to deploy the perfctl malware.
We analyze a cryptojacking attack campaign exploiting exposed Docker remote API servers to deploy cryptocurrency miners, using Docker images from the open-source Commando project.
Jenkins, a popular open-source automation server, was discovered to be affected by a file read vulnerability, CVE-2024-23897.
Simulation uncovers hidden features and urges greater user awareness
Data exposure from SaaS and cloud applications is an increasing risk factor facing businesses today. Discover how SASE capabilities can help prevent data exfiltration and reduce cyber risk across the attack surface.