First reported wiz.io
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 paloaltonetworks.com
The State of AI-Enabled Malware August 2026: From Brand Abuse to Agentic Execution
Unit 42's "State of AI-Enabled Malware August 2026" surveys how adversaries have moved from AI-assisted brand abuse toward agentic execution, alongside Symantec's observations of real phishing campaigns delivering LLM-generated PowerShell downloaders. The observed campaigns used malicious .lnk files in password-protected ZIPs to trigger LLM-authored scripts that deployed payloads such as Rhadamanthys, CleanUpLoader (Broomstick/Oyster), NetSupport, ModiLoader, LokiBot, and Dunihi. Details →First reported threatdown.com
Criminal AI tool Kriminal is mostly just Grok with a jailbreak, ThreatDown finds
ThreatDown analysis, reported by SiliconANGLE, found that the criminal AI tool marketed as 'Kriminal' is largely just xAI's Grok wrapped with a jailbreak that bypasses safety guardrails to produce illicit content. The tool is sold to cybercriminals as a purpose-built malicious LLM but relies on circumventing a commercial model's protections rather than being a bespoke system. Details →First reported towardsai.net
AI Agents are Now Recommending Their Own Malware
Security researchers at Island documented a campaign dubbed "AgentBaiting" involving roughly 7,600 malicious GitHub repositories — more than 800 disguised as AI skills or MCP servers — engineered to be discovered and recommended by AI coding agents. Instead of phishing a human, attackers plant repos that look legitimate so that an agent searching GitHub finds them, reads the README, and recommends installing the malware, effectively removing the human-in-the-loop from the supply-chain attack chain. Details →First reported crowdstrike.com
Detecting SANDWORM_MODE and AI Toolchain Supply Chain Attacks
CrowdStrike details SANDWORM_MODE, a multi-stage npm supply chain worm first documented by Socket.dev in February 2026 that spanned 19 malicious packages and specifically exploited the runtime behaviors of AI coding assistants (Copilot, Cursor, Claude Code), CI automation, and LLM toolchains. The infection chain uses an obfuscated multi-layer loader (Base64/zlib/XOR, indirect eval) to bypass static analysis, then fingerprints the environment and performs reconnaissance and credential harvesting across the AI-driven CI/CD pipeline. Details →First reported paloaltonetworks.com
OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat
Unit 42 describes an emerging AI supply-chain threat in which malicious "skills" published to the OpenClaw agent skill marketplace act as a distribution channel for malware and data theft. Corroborating research from Trend Micro (Atomic macOS Stealer delivery), Bitdefender, Koi.ai (341 malicious ClawedBot skills) and JFrog documents how attackers hide payloads inside agent skills users install to extend AI-agent capabilities. Details →First reported wraith.sh
Data Exfiltration via Markdown Images: The Quiet AI Vulnerability
Wraith's attack guide by Anthony D'Onofrio details data exfiltration via markdown image rendering in AI products, where an injected payload (via prompt injection, RAG doc, shared document, or email) causes an LLM to emit a markdown image whose URL embeds secrets like system prompts, conversation history, or API keys; when the chat client renders the markdown, the browser silently fetches the attacker's URL, leaking the data with zero clicks and no visible artifact. The guide notes variants have hit ChatGPT, Microsoft Copilot, GitHub Copilot Chat, Slack AI Assistant, Google Bard, and Claude.ai, and covers four defensive patterns. Details →First reported sans.edu
Someone Is Scanning for Your MCP Servers and AI Assistant Credentials
A SANS ISC diary by Manuel Humberto Santander Peláez reports that analysis of 14 days of Apache/ModSecurity logs from a small web host revealed distributed internet scanning specifically targeting Model Context Protocol (MCP) servers, AI assistant configuration files, and locally exposed LLM endpoints. Notably, the POST /mcp probes carried valid JSON-RPC 2.0 MCP 'initialize' handshakes from 49 distinct source IPs, indicating scanners that speak the protocol and would enumerate tools and data sources if a real MCP server responded. Details →How the wire is made
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