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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 24 Aug · updated 24 Aug · 2 reports splunk.com

SVD-2026-0808 | Splunk Vulnerability Disclosure

Splunk advisory SVD-2026-0808 discloses multiple vulnerabilities in Splunk apps including a critical (CVSS 9.1) remote code execution via untrusted-data deserialization (CVE-2026-76404) in the Splunk MCP Server app, plus several flaws in the Splunk AI Toolkit such as RCE in the Model Loading REST API (CVE-2026-76395), improper privilege management on agent run history (CVE-2026-76391), and missing authorization in container/connection management (CVE-2026-76394). Fixed versions are available for each affected app and add-on.

First reported 16 Jun · updated 16 Jul · 2 reports paloaltonetworks.com

Pickle in the Middle – Hijacking Vertex AI Model Uploads for Cross-Tenant RCE

Palo Alto Unit 42 (Ori Hadad) disclosed CVE-2026-0257, a flaw in Google's Vertex AI Python SDK (python-aiplatform) where model uploads relied on an attacker-predictable Google Cloud Storage bucket, enabling 'bucket squatting.' An attacker could pre-register the expected bucket and substitute a malicious pickle/joblib model artifact, achieving cross-tenant remote code execution when the poisoned model was deserialized. Google fixed the issue in SDK releases v1.148.0/v1.148.1.

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