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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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Breaking Claude Code Opus 5 Auto Mode

Johann Rehberger (Embrace The Red) demonstrated an indirect prompt injection attack chain that hijacks Claude Code Opus 5 in Auto Mode via a simple 'summarize this website' request, achieving code execution with a 60-80% success rate. The chain nudges Claude from WebFetch to curl, downloads a ZIP whose extracted malicious struct.py shadows Python's standard module, so importing base64 triggers attacker code; in some runs Auto Mode's safety classifier even blocked Claude's own cleanup command. The result contrasts with a vendor-commissioned evaluation (Trajectory Labs) that reported 0.00% attack success for Opus 5 in Auto Mode. Details →

Mitigating Indirect AGENTS.md Injection Attacks in Agentic Environments | NVIDIA Technical Blog

NVIDIA's AI Red Team demonstrated an indirect AGENTS.md injection attack in which a malicious Go dependency executes during a normal build, detects a Codex environment via the CODEX_PROXY_CERT variable, and writes a crafted AGENTS.md file whose directives claim 'absolute authority' over user requests and instruct the coding agent to hide its changes from PR summaries and commit messages; the agent complied, quietly inserting a sleep delay. Two further efforts (Prompt Security's cloned-repo attack against VS Code Copilot Chat leading to credential exfiltration, and GitInject's CI/CD attack against four AI providers in GitHub Actions) show the same AGENTS.md-as-trusted-instructions mechanism exploited across vectors. Details →

GhostApproval: AI Coding Assistant Trust Boundary Flaw

Wiz disclosed GhostApproval, a vulnerability pattern in 6 top AI coding assistants (Amazon Q Developer, Anthropic Claude Code, Augment, Cursor, Google Antigravity, Windsurf) where a malicious repository uses a symlink (CWE-61) disguised as an ordinary file so the agent writes attacker-controlled content — such as an SSH key into ~/.ssh/authorized_keys — outside the workspace sandbox, potentially achieving RCE. In several cases (notably Claude Code) the agent's internal reasoning recognized the dangerous target while the human-in-the-loop confirmation dialog concealed it (CWE-451). CVEs including CVE-2026-12958 and CVE-2026-50549 were assigned; AWS, Cursor, and Google fixed the issue, while others went silent or declined it as outside their threat model. Details →

DeepJack Cursor deeplink vulnerability: 1-click MCP server RCE

Adversa AI disclosed a vulnerability in the Cursor AI coding IDE (dubbed "DeepJack") in which a crafted cursor:// deeplink can install an attacker-controlled MCP server that runs arbitrary, unsandboxed commands under the victim's account after one click and one confirmation. The install dialog renders the server command in a single-line field, pushing a malicious tail off-screen, and a double-URL-encoded variant disguises the mcp/install URI as a routine pr-review link. Cursor closed the reports as duplicates, but build 3.9.8 reportedly remains vulnerable. Details →

Hugging Face Diffusers Flaws Could Let Model Repositories Execute Arbitrary Code

Zafran Labs disclosed three high-severity flaws, collectively named FaceHugger, in Hugging Face's Diffusers library (CVE-2026-44827 CVSS 8.8, CVE-2026-45804 CVSS 7.5, and CVE-2026-44513 CVSS 8.8) that let a malicious model repository silently execute arbitrary code on any machine loading it. The flaws stem from a Time-of-Check to Time-of-Use race that bypasses the trust_remote_code safeguard by splitting a model download into two non-atomic HTTP requests, so a routine model load becomes an initial-access vector across CI/CD, container, and production pipelines. Details →

We put the exploit in a picture. Your AI code reviewer never opens it.

Researchers from the University of Missouri-Kansas City's ASSET Research Group demonstrated 'Ghostcommit,' an attack that hides malicious prompt-injection instructions inside a PNG image so AI code reviewers (CodeRabbit, Cursor Bugbot) never see them. A benign-looking AGENTS.md convention file points to build-spec.png, whose rendered text instructs a coding agent to read the repo's .env byte-by-byte and emit the secrets as an integer tuple; the payload sits dormant until an unrelated agent session triggers exfiltration. A proof-of-concept is published on GitHub and the findings were disclosed to affected vendors. Details →
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