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First reported 21 Jul · updated 1 Aug · 2 reports embracethered.com

AWS Kiro: Arbitrary Code Execution via Indirect Prompt Injection

Researchers disclosed a vulnerability in AWS Kiro, an agentic IDE, where hidden instructions planted in a web page or source file (indirect prompt injection) can make Kiro rewrite its 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 without any approval prompt. Because Kiro can write to these files without user consent, the human-in-the-loop approval boundary is bypassed entirely. Amazon issued CVE-2026-10591 and the flaw is now fixed.

indirect-prompt-injection · tool-abuse · remote-code-execution · supply-chain
ai-agents · mcp · llm · coding-agent · ide

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First reported today cisa.gov

Defending Against an Active Threat to Siemens S7 Series PLCs

Five US federal agencies (NSA, CISA, FBI, DOE, EPA) issued advisory AA26-231A warning of an active threat in which attackers use AI coding assistants together with open source industrial libraries (snap7.dll/python-snap7) to generate custom exploitation scripts disguised as legitimate OT monitoring tools against internet-exposed Siemens S7 Series PLCs at water, energy, manufacturing, and other critical facilities. The AI-generated tools provide read/write access to PLC memory, configuration, and ladder logic via the S7comm protocol, and the activity is suspected to be linked to Iran-affiliated operatives.

First reported today · updated today · 2 reports cisa.gov

Defending Against an Active Threat to Siemens S7 Series PLCs

A joint CISA/NSA/FBI/DOE/EPA advisory (AA26-231A, August 2026) warns of an active cyber threat against U.S.-based Siemens S7 Series PLCs, in which threat actors conduct reconnaissance and capability development using AI-generated exploitation scripts disguised as legitimate monitoring tools. The advisory provides mitigations including inventorying PLCs, applying patches, isolating devices from the internet, hardening access controls, and hunting for anomalies.

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