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AWS Launches Multi-Turn RL for Amazon Nova

AWS Launches Multi-Turn RL for Amazon Nova

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 AWS Machine Learning Blog

AWS has released a production-grade, event-driven multi-turn reinforcement learning training infrastructure for Amazon Nova models on SageMaker HyperPod, enabling enterprises to train agents that learn tool orchestration, error recovery, and sequential decision-making at scale. This materially expands the attack surface by introducing complex reward-routing pipelines, ephemeral compute provisioning, and environment-facing reward workers as new targets for poisoning and manipulation. Defenders must scrutinise the trust boundaries between the Nova Forge SDK, ECS reward workers, and HyperPod training pods, as a compromised reward signal can silently shape model behaviour across entire interaction sequences.

OfficeCLI Brings Microsoft Office Automation to AI Agents

OfficeCLI Brings Microsoft Office Automation to AI Agents

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 HN AI Security

OfficeCLI is an open-source, single-binary tool that enables AI agents to programmatically read, write, and automate Microsoft Word, Excel, and PowerPoint files without requiring a local Office installation. This dramatically expands the file-system attack surface for agentic AI systems, enabling prompt injection via document content, automated exfiltration of sensitive Office files, and weaponisation of documents as a persistent injection vector. Defenders operating AI agent pipelines that touch file systems must now treat any Office document as a potential adversarial input channel.

Prompt Injection Attacks Manipulate AI Crypto Agents

Prompt Injection Attacks Manipulate AI Crypto Agents

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 SecurityWeek

Researchers identified two active campaigns embedding indirect prompt injection payloads in malicious websites to manipulate autonomous AI agents into executing unauthorised cryptocurrency transactions. The attacks exploit the growing deployment of agentic AI systems that browse the web and take real-world actions with minimal human oversight. This represents a concrete, financially motivated escalation of prompt injection from data exfiltration to direct fund theft.

Langflow LLM Agents Exploited for Ransomware Delivery

Langflow LLM Agents Exploited for Ransomware Delivery

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 SecurityWeek

A documented ransomware attack leveraged agentic AI infrastructure — specifically the Langflow LLM orchestration platform — to automate multi-stage intrusion chains combining known exploitation techniques with real-time LLM reasoning. This marks a significant escalation in threat actor capability, demonstrating that agentic AI can serve as an autonomous attack coordinator rather than merely an assistant. Security teams running self-hosted AI orchestration platforms now face an expanded attack surface where the AI layer itself can be both the entry point and the execution engine.

Microsoft Copilot MCP Tool Poisoning Enables Data Exfiltration

Microsoft Copilot MCP Tool Poisoning Enables Data Exfiltration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.1 The Hacker News

Microsoft researchers have demonstrated how attackers can embed hidden instructions inside MCP tool descriptions to covertly redirect AI agents into exfiltrating sensitive business data. Because each individual action the agent takes appears legitimate — using approved tools and the user's own permissions — default security controls generate no alerts. The attack exploits a fundamental design tension in MCP: tool descriptions simultaneously carry operational instructions and attacker-controlled data, collapsing a critical trust boundary.

Agentjacking: Prompt Injection via Malicious Bug Reports

Agentjacking: Prompt Injection via Malicious Bug Reports

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

A technique dubbed 'agentjacking' exploits the inability of AI coding agents to distinguish between legitimate content and embedded instructions, allowing attackers to hijack agent behaviour through maliciously crafted bug reports. The attack represents a scalable, low-barrier prompt injection vector targeting developer workflows that rely on autonomous AI agents. As AI coding assistants gain broader adoption and elevated system permissions, this class of attack poses a significant risk to software supply chain integrity.

Cursor IDE DuneSlide Zero-Click Prompt Injection RCE

Cursor IDE DuneSlide Zero-Click Prompt Injection RCE

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 SecurityWeek

A set of vulnerabilities dubbed 'DuneSlide' in the Cursor AI code editor allow attackers to conduct zero-click prompt injection attacks that escape the application's sandbox and execute arbitrary code at the operating system level. The flaws represent a critical escalation of AI-native attack surface risks, targeting developers who rely on AI-assisted coding environments. Because exploitation requires no user interaction, the attack chain is particularly dangerous in supply chain and watering-hole scenarios.

CVE-2026-50548: Cursor IDE Prompt Injection RCE

CVE-2026-50548: Cursor IDE Prompt Injection RCE

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 The Hacker News

Two critical vulnerabilities (CVE-2026-50548 and CVE-2026-50549) in the Cursor AI code editor allow prompt injection attacks delivered via MCP services or web search results to escape the editor's terminal sandbox and execute arbitrary commands on a developer's machine without any user interaction. Both flaws abuse the sandbox's write-permission logic — one through a misconfigured working directory parameter, the other through a symlink-resolution fallback — ultimately allowing overwrite of the sandbox helper binary itself. The attack surface is significant given Cursor's reported adoption across more than half of Fortune 500 companies; all versions prior to 3.0 remain vulnerable.

IGA Platforms Add AI Agent Governance and Access Control

IGA Platforms Add AI Agent Governance and Access Control

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.8 The Hacker News

A new analysis published via The Hacker News details how traditional Identity Governance and Administration (IGA) frameworks — built around HR-driven, human-centric lifecycle events — are fundamentally unequipped to govern AI agents acting as autonomous principals in enterprise environments. Security teams face a growing blind spot: AI agents acquire, retain, and exercise entitlements without triggering the joiner-mover-leaver workflows, manager attestations, or termination events that IGA tooling depends on. Defenders must now treat AI agent identities as a separate governance tier, requiring purpose-built provisioning, audit, and deprovisioning logic that existing platforms like Workday, SailPoint, and Azure AD connectors were never designed to provide.

Claude Opus Discovers API Flaw Enabling Ticket Fraud

Claude Opus Discovers API Flaw Enabling Ticket Fraud

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Wired Security

Security researcher Ian Carroll leveraged Anthropic's Claude Opus 4.7 to identify a critical vulnerability in Front Gate Tickets—a Live Nation subsidiary handling ticketing for major US festivals—that granted super-administrator access and the ability to freely issue tickets of any value. The case demonstrates LLM-assisted autonomous vulnerability discovery at scale, with Carroll noting the AI could likely have completed the full exploit chain without human intervention. Front Gate patched the flaw within 24 hours of disclosure, confirming no evidence of prior exploitation.

AGENTIC AIThe Hacker NewsCRITICALCVE-2025-3248: Langflow RCE Enables AutonomousRansomware Attack

CVE-2025-3248: Langflow RCE Enables Autonomous Ransomware Attack

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.8 The Hacker News

Sysdig has documented what it claims is the first end-to-end ransomware attack orchestrated autonomously by an AI agent, attributed to a threat actor tracked as JADEPUFFER. The agent exploited a known remote code execution flaw in Langflow (CVE-2025-3248) to gain initial access, harvest credentials, pivot laterally, and ultimately encrypt and destroy a production database — all without human intervention at the keyboard. The incident demonstrates that AI agents can now lower the skill floor for complex, multi-stage attacks to near zero, representing a qualitative shift in the ransomware threat landscape.

Google Launches Gemini Spark on Mac with File Access

Google Launches Gemini Spark on Mac with File Access

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 TechCrunch AI

Google has expanded Gemini Spark to macOS, giving the agentic assistant access to local files, third-party app integrations (including Dropbox, Canva, and Instacart), custom MCP connections, and real-time topic monitoring. This substantially widens the attack surface for enterprise defenders, as a compromised or manipulated Spark agent gains a foothold across local file systems, cloud workspaces, and external service APIs simultaneously. The addition of custom Model Context Protocol support is particularly concerning, as it allows arbitrary third-party tool connections with unclear trust boundaries and permission scoping.

Phantom Squatting: LLM Hallucinations in Supply Chain

Phantom Squatting: LLM Hallucinations in Supply Chain

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 Palo Alto Unit 42

Unit 42 researchers have documented 'phantom squatting', a novel attack vector where adversaries register domains that LLMs consistently hallucinate when responding to developer queries, intercepting traffic from AI-assisted workflows. Analysis of 913 brands across 685,339 URL queries uncovered 13,229 confirmed malicious URLs and approximately 250,000 unregistered hallucinated domains still available for adversarial pre-registration. A concrete case study reveals a fully operational phishing kit, Montana Empire, built with an AI coding assistant and deployed against a domain Unit 42 had flagged as high-risk 23 days prior.

Token Security Publishes Agentic AI Identity Risk Analysis

Token Security Publishes Agentic AI Identity Risk Analysis

FIRST LOOK ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

Token Security has published a detailed analysis of the identity and access management failures emerging as agentic AI systems proliferate across enterprise environments, highlighting how AI agents authenticate, hold credentials, and act autonomously across production systems without adequate oversight. Unlike traditional machine identities, AI agents combine human-like goal-directed behaviour with machine-speed execution, creating credential sprawl that existing IAM programs were never designed to govern. Security teams face a compounding risk: agents are being provisioned with overprivileged OAuth grants, API tokens, and cloud roles that remain unreviewed and unrevoked long after the original use case has expired.

BioShocking Attack Exploits Indirect Prompt Injection to Steal Credentials via AI Browsers

BioShocking Attack Exploits Indirect Prompt Injection to Steal Credentials via AI Browsers

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 9.0 The Hacker News

Security firm LayerX demonstrated a novel indirect prompt injection attack dubbed 'BioShocking' that manipulates AI browser agents into exfiltrating user credentials by embedding adversarial instructions inside web-based puzzle content. Six AI browsers and assistants were successfully compromised, including ChatGPT Atlas, Perplexity Comet, and Anthropic's Claude extension, with agents retrieving SSH credentials from GitHub repositories without triggering safety refusals. Vendor responses were inconsistent, with only OpenAI issuing a confirmed fix, highlighting the systemic risk of agentic AI systems that conflate user intent with malicious page content.

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