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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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Names Can Hurt: Spotting Slopsquatting Risks Caused by Package Name Hallucinations in Local Coding LLMs

The paper 'Names Can Hurt' studies slopsquatting, where local coding LLMs hallucinate Python package names that adversaries can pre-register on PyPI to achieve supply-chain compromise, and proposes a two-layer detector combining a deterministic PyPI existence check with a Random Forest classifier embedded in a LangGraph retry pipeline. Across 300 curated prompts the pipeline yields hallucination-free code on 76% of runs, and the authors find hallucination rates scale with prompt adversariality (up to 40-73% on slopsquat baits) and that same-family fallback models fail to recover ~84% of primary failures. Details →

Forget typosquatting; slopsquatting is the software supply chain threat created by AI coding tools | VentureBeat

VentureBeat and related sources describe "slopsquatting," a software supply-chain attack in which AI coding agents hallucinate non-existent package names and attackers preemptively register those names with malware. Research cited (Socket.dev, USENIX, and arXiv work including Ben Nassi et al.'s "adversarial hallucination squatting") finds hallucination rates as high as 19.7% of recommended packages, with hallucinated names repeated reliably (43-58%), enabling attackers to predict and register them; agentic "HalluSquatting" has been demonstrated to achieve remote tool and code execution and even botnet formation. Details →

The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort

A replication study by Aleksandr Churilov re-evaluated package-name hallucination across five 2026 frontier code LLMs (Claude Sonnet 4.6, Claude Haiku 4.5, GPT-5.4-mini, Gemini 2.5 Pro, DeepSeek V3.2), measuring hallucination rates of 4.62%-6.10% across ~199,845 Python/JavaScript prompts. The authors identified 127 package names all five models invent identically and, after coordinated disclosure with PyPI Security and Socket, found 53 (41 PyPI, 12 npm) remain registrable by an attacker, forming a model-agnostic slopsquatting supply-chain attack surface. Details →

Open VSX Removes 77 Malicious Evil Twin Extensions Exfiltrating Developer Data

Manifold Security identified 77 counterfeit "evil twin" extensions uploaded to the Open VSX registry between July 26 and August 1, 2026, each impersonating a real extension's name and namespace at version 0.0.1 and beaconing to a newly registered domain; 19 carried a full reconnaissance payload exfiltrating git remote host/org, commit email domain, workspace path, branch, HEAD commit, and CI project identifiers (effectively private repo paths on build runners). The packages were removed from Open VSX by August 3, though the contacted infrastructure remained live. The research ties the risk to automated name resolution by AI coding agents, devcontainer configs, and provisioning scripts that install by name across registries, citing Anthropic's July 30 slopsquatting disclosure where a model-invented package name was executed by fifteen real systems. Details →
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