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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 1 Aug barhum.ai

The Hidden Risks of Downloading and Running Open-Source LLMs Locally: Model Formats, Supply-Chain Attacks, and EDR Blind Spots

A Barhum.ai report maps the security attack surface of running open-source LLMs locally, arguing model files are executable artifacts: Python pickle formats (.pt/.pth/.bin) permit arbitrary code execution by design, PickleScan has been bypassed by zero-day vulnerabilities, and inference engines like Ollama have accumulated multiple critical CVEs. It notes CVE-2025-32434 (CVSS 9.3) showed torch.load() with weights_only=True was still exploitable, and highlights that EDR tools are architecturally blind to model-layer threats.

First reported 17 Jul · updated 17 Jul · 2 reports cyera.com

Ollama Out-of-Bounds Read Vulnerability Allows Remote Process Memory Leak

Cyera researchers disclosed CVE-2026-7482 ("Bleeding Llama", CVSS 9.1), a heap out-of-bounds read in Ollama's GGUF model loader that lets a remote, unauthenticated attacker leak the entire process memory of an Ollama server. The flaw is fixed in Ollama 0.17.1 and is estimated to affect over 300,000 exposed servers globally.

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