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First reported 21 Jul · updated 29 Aug · 3 reports embracethered.com

AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection

Researchers found a vulnerability (CVE-2026-10591) in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file that Kiro processes can trigger indirect prompt injection to rewrite Kiro's own MCP server configuration (~/.kiro/settings/mcp.json) or allowlist arbitrary Bash commands in .vscode/settings.json, achieving arbitrary code execution on the developer's machine with no approval prompt. The human-in-the-loop approval boundary is bypassed because Kiro can write to these config files without user consent, and AWS has issued a fix and CVE.

indirect-prompt-injection · prompt-injection · remote-code-execution · tool-abuse · config-poisoning
ai-agents · mcp · llm · agentic-ide

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First reported 2 Aug arxiv.org

Here Comes The AI Worm: Unleashing Zero-click Worms that Target GenAI-Powered Applications

The paper 'Here Comes The AI Worm' by Cohen, Bitton, and Nassi demonstrates Morris-II, a zero-click self-replicating adversarial prompt that triggers cascading indirect prompt injections across RAG-based GenAI applications such as email assistants, forcing each to exfiltrate confidential data and poison the RAG of additional applications. The authors evaluate propagation across context sizes, embedding algorithms, and hop counts, and introduce a guardrail called Virtual Donkey achieving a 1.0 true-positive rate at a 0.015 false-positive rate.

First reported 1 Aug paloaltonetworks.com

Analyzing the Current State of AI Use in Malware

Palo Alto Networks Unit 42 published a threat-research analysis examining how malware authors are currently incorporating generative AI and LLMs (such as ChatGPT) into their tooling, referencing observed samples including infostealers and Sliver-based implants. The piece assesses the practical maturity and limitations of AI use in real-world malware based on analyzed artifacts.

First reported 22 Jul bleepingcomputer.com

How enterprise GenAI can amplify ransomware risk — and how to contain it

A sponsored article by Acronis on BleepingComputer argues that enterprise generative-AI assistants and agents amplify ransomware risk by inheriting the identities, permissions, and data access that attackers already target. It outlines two threat models—attackers using AI to scale their own operations, and organizations exposing new attack surface through autonomous AI agents with delegated authority connected to SaaS, document repositories, and internal knowledge bases.

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