Agentic AI

194 reports

All LLM Security Agentic AI Industry News Research Supply Chain Prompt Injection First Look: Security Regulatory Jailbreaks Adversarial ML Data Poisoning Model Theft AI Security Tools Security Operations

CVE-2026-45321: Supply Chain Worm Targets Mistral AI

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News May 13, 2026

The TeamPCP threat actor has executed a broad supply chain campaign dubbed Mini Shai-Hulud, injecting credential-stealing malware into npm and PyPI packages from major AI and developer tooling ecosystems including Mistral AI, Guardrails AI, and TanStack. The malware profiles execution environments, exfiltrates cloud, CI, and AI tool credentials, and establishes persistence inside Claude Code and VS Code IDEs. The TanStack compromise alone affected 42 packages and 84 versions, exploiting a chained GitHub Actions attack to inject malicious payloads without stealing npm tokens directly.

AI-Powered Exploit Development by Threat Actors

ATLAS OWASP HIGH ▲ 7.2 Dark Reading May 12, 2026

Threat actors are now actively deploying large language models to accelerate exploit development and automate complex cyberattack workflows, marking a significant evolution in adversarial tooling. This shift lowers the technical barrier for sophisticated attack execution, enabling less-skilled actors to produce functional exploits at scale. The trend signals a structural change in the offensive threat landscape, with AI acting as a force multiplier for adversaries.

PromptSpy Zero-Day: AI-Generated Malware for Mass Exploitation

ATLAS OWASP CRITICAL ▲ 9.2 Mandiant Blog May 12, 2026

Google's Threat Intelligence Group (GTIG) has identified, for the first time, a criminal threat actor using a zero-day exploit believed to have been AI-generated, intended for mass exploitation before proactive counter-discovery intervened. The report also documents AI-augmented malware development, autonomous attack orchestration via AI-enabled malware (PROMPTSPY), and obfuscated LLM access pipelines used by adversaries to bypass usage controls. Nation-state actors from China and North Korea are actively pursuing AI-assisted vulnerability discovery, marking a significant escalation in adversarial AI capability.

AI-Generated Zero-Day: 2FA Bypass in Web Admin Tool

ATLAS OWASP CRITICAL ▲ 9.2 The Hacker News May 12, 2026

Google's Threat Intelligence Group has confirmed the first known instance of a threat actor using an AI model to discover and weaponize a zero-day vulnerability — a 2FA bypass in a popular open-source web administration tool. The exploit, delivered via a Python script bearing hallmarks of LLM-generated code (including hallucinated CVSS scores and structured docstrings), was designed for mass exploitation. This marks a significant inflection point in the offensive AI threat landscape, demonstrating that AI-assisted vulnerability discovery and weaponization has moved from theoretical risk to confirmed operational reality.

Claude Chrome Extension Prompt Injection Enables Agent Takeover

ATLAS OWASP HIGH ▲ 9.1 SecurityWeek May 09, 2026

A vulnerability dubbed ClaudeBleed in Anthropic's Claude Chrome extension allows any browser extension to inject arbitrary prompts into the Claude AI agent by exploiting lax permission checks and improper trust validation. Attackers can bypass user confirmation protections via DOM manipulation and repeated message forging, enabling full agent takeover for information theft or unauthorized actions. The flaw effectively breaks Chrome's extension security model and exposes users running Claude's agentic capabilities to third-party extension compromise.

Firefox Vulnerabilities Discovered via AI-Assisted Fuzzing

ATLAS OWASP HIGH ▲ 7.2 Simon Willison May 08, 2026

Mozilla used early access to Anthropic's Claude Mythos model to systematically discover and patch hundreds of previously unknown vulnerabilities in Firefox, including bugs over 15–20 years old. The effort demonstrates a step-change in AI-assisted vulnerability research, with April 2026 seeing 423 security fixes compared to a monthly baseline of 20–30. The same capability that empowered Mozilla's defenders also signals that adversaries with similar model access could industrialise exploit discovery against open-source software at scale.

TrustFall: Repository Poisoning RCE in AI Coding Tools

ATLAS OWASP HIGH ▲ 8.5 Dark Reading May 08, 2026

A vulnerability class dubbed 'TrustFall' demonstrates that malicious code repositories can trigger arbitrary code execution in AI-assisted developer tools including Claude Code, Cursor CLI, Gemini CLI, and GitHub Copilot CLI, with little to no user interaction required. The attack surface stems from inadequate or easily dismissed warning dialogs that fail to surface the risk of executing untrusted repository content. Developers cloning or opening adversarial repositories are exposed to full host-level compromise through the elevated trust these AI coding agents place in repository-supplied context.

Claude Code OAuth Token Theft via npm Supply Chain

ATLAS OWASP HIGH ▲ 9.1 SecurityWeek May 08, 2026

Mitiga Labs has disclosed a stealthy attack chain targeting Claude Code's MCP infrastructure, allowing adversaries to silently intercept OAuth tokens by redirecting MCP traffic through attacker-controlled infrastructure. The attack requires only the ability to install a malicious npm package, which modifies ~/.claude.json to insert a proxy and pre-sets trust flags to suppress security prompts. Because the OAuth token grants broad access to all connected SaaS tools, successful exploitation effectively hands attackers a persistent master key to the victim's integrated development environment.

Pixel-Level Perturbations Enable Invisible Prompt Injection in Vision-Language Models

ATLAS OWASP HIGH ▲ 8.2 SecurityWeek May 08, 2026

Cisco's AI Threat Intelligence team has demonstrated that bounded pixel-level perturbations can recover the attack effectiveness of degraded typographic images against vision-language models (VLMs), enabling hidden prompt injection that bypasses both human review and content filters. The technique works by optimising perturbations against open-source embedding models and transferring results to proprietary systems like GPT-4o and Claude, exposing a cross-model transferability risk. The attack allows adversaries to embed instructions—such as data exfiltration commands—inside images that appear as visual noise to human observers.

CVE-2026-26030: Semantic Kernel RCE via Prompt Injection

ATLAS OWASP CRITICAL ▲ 9.2 Microsoft Security Blog May 08, 2026

Microsoft's Defender Security Research Team disclosed two CVEs in Semantic Kernel — a widely-used AI agent orchestration framework — demonstrating how prompt injection can escalate to remote code execution via compromised plugins. The vulnerabilities (CVE-2026-26030 and CVE-2026-25592) expose a systemic risk in the agentic AI layer: because frameworks like Semantic Kernel abstract tool orchestration, a single flaw in how LLM outputs are mapped to system tools can propagate across every application built on that foundation. This research signals a critical shift in AI threat modelling, where prompt injection is no longer a content risk but an execution risk.

AI Agent Privilege Escalation Bypasses IAM Visibility

ATLAS OWASP HIGH ▲ 6.5 The Hacker News May 07, 2026

Enterprises are deploying AI agents faster than governance frameworks can track them, creating a shadow identity layer that operates outside traditional IAM visibility. These agents run continuously, accumulate permissions opportunistically, and interact with sensitive data at machine speed — largely unmonitored. The structural gap between agent activity and IAM coverage represents a significant and growing attack surface for privilege abuse and data exfiltration.

Flowise and n8n: Auth Bypass in Exposed LLM Services

ATLAS OWASP HIGH ▲ 8.5 The Hacker News May 06, 2026

A scan of over one million exposed AI services found pervasive security failures including absent authentication, leaked API keys, and exposed business logic across self-hosted LLM deployments. Agent management platforms such as Flowise and n8n were discovered internet-exposed without access controls, revealing credential lists and internal workflows. The findings indicate systemic misconfiguration risk as enterprises race to self-host AI infrastructure without applying baseline security practices.

ML Supply Chain Compromise in DoD AI Integration

ATLAS OWASP HIGH ▲ 6.5 SecurityWeek May 04, 2026

The US Department of Defense has formalised agreements with seven major technology companies — including Google, Microsoft, OpenAI, and Amazon Web Services — to integrate AI into classified military networks for battlefield decision support. The move raises significant AI security concerns around human oversight, adversarial manipulation of high-stakes AI systems, and supply chain risks introduced by multiple commercial vendors operating within classified environments. Notably, Anthropic was excluded following a public dispute over AI safety and ethics in warfare.

Loopsy AI Agent Relay Enables Cross-Machine RCE

ATLAS OWASP MEDIUM ▲ 6.5 HN AI Security May 03, 2026

Loopsy is an open-source tool enabling cross-machine communication between AI coding agents (Claude Code, Cursor, Codex) and mobile devices via a self-hosted Cloudflare Workers relay. While designed for legitimate developer productivity, the architecture introduces significant attack surface: a relay brokering shell access and AI agent commands across machines is a high-value target for interception, hijacking, or supply chain compromise. Security teams should assess exposure before deploying such tools in sensitive development environments.

agent-desktop Prompt Injection Grants AI Agents OS Control

ATLAS OWASP HIGH ▲ 7.2 HN AI Security May 03, 2026

agent-desktop is an open-source Rust CLI tool that exposes full OS accessibility trees to AI agents, enabling programmatic control of any desktop application without screenshots or browser sandboxing. This dramatically expands the attack surface for agentic AI systems, as a compromised or prompt-injected agent could silently manipulate native applications, exfiltrate data, or perform destructive actions across the host OS. The tool's deterministic element references and structured JSON output make it trivially scriptable, lowering the barrier for AI-driven desktop abuse.

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