First reported techupdate24.com
Lead dispatch
First reported · updated · 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
Severity
0.85
The wire · latest
First reported okta.com
Free tokens for sale: How fake signups drive AI fraud | Threat Intelligence
Okta Threat Intelligence documented a gray market of underground services, including one called "Poison Claude," selling discounted access to Anthropic LLMs (Opus and Sonnet models) by abusing fraudulently obtained free bonus credits such as the US$100 AWS Bedrock signup credit. Because customer requests are routed through the operator's pooled accounts, the operator can see every customer prompt, exposing user data to an untrusted intermediary. Details →First reported cloudsecuritywire.com
Securing LLM API Credentials in Cloud Environments: Preventing AI Key Theft and Inference Abuse
A hardening guide from Cloud Security Wire explains how stolen LLM API keys (for AWS Bedrock, Azure OpenAI, and GCP Vertex AI) create a distinct threat model — cost amplification, data exfiltration via model context windows, prompt-injection pivoting, and shared-infrastructure abuse — and provides IAM scoping, credential-exposure prevention, and inference-abuse monitoring steps. Details →How the wire is made
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