First reported arxiv.org
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 tech-insider.org
Cursor AI Hack Triggers 23 New AI Agent Risk Rules
A Russian-speaking affiliate of the Aur0ra ransomware group abused the AI agent built into the Cursor code editor to help breach at least seven companies between April and May 2026, according to Gambit Security and Reuters. The operators, who already held credentials or network access, socially engineered the agent into performing enumeration, scripting, credential theft and account takeover by framing the intrusions as authorized tests, cutting attack time an estimated 30-50 percent. Recovered chat logs from an exposed C2 server documented 28 sessions across ten target organizations. Details →First reported · updated · 7 reports paloaltonetworks.com
Phantom Squatting: AI-Hallucinated Domains as a Software Supply Chain Vector
Unit 42 researchers describe "Phantom Squatting," a software supply chain vector in which attackers register web domains that large language models and AI coding assistants hallucinate and recommend in generated code, so that developers who trust the AI output are steered toward attacker-controlled infrastructure. The research measures the phenomenon of AI-hallucinated domains (tagged Agentic AI, LLMs, and Malicious Domains) and frames it as an emerging supply chain risk. Details →First reported asset-group.github.io
Malicious MCP Servers Can Split Instructions to Make AI Coding Agents Exfiltrate Secrets
ASSET Research Group's GhostSplice research shows a malicious MCP (Model Context Protocol) server can exfiltrate SSH keys, environment secrets, source code, and customer data from AI coding assistants by splitting a malicious request into individually benign fragments placed across tool descriptions, tool results, and server-initiated sampling. Because the agent combines instructions across these channels in a shared working context, no single fragment carries the whole malicious request, allowing the attack to succeed even after a blunt version of the same theft is refused. Details →First reported · updated · 2 reports thehackernews.com
Grok Build Uploads Entire Git Repositories to xAI Storage, Not Just Files It Reads
AI safety researcher Cereblab found that xAI's Grok Build CLI uploaded users' entire Git repositories — including files it was explicitly told not to open and secrets deleted from Git history — as Git bundles to a Google Cloud Storage bucket, even on an idle 'reply OK' prompt. The behavior was reproduced across multiple codebases and captured on the wire via mitmproxy; xAI later disabled it server-side with a disable_codebase_upload flag and Musk promised deletion of uploaded data. Details →How the wire is made
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