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The Closed Quorum: Inside the first reported autonomous AI C2 implant

Cisco Talos documented CLOSEDQUORUM, a Windows implant that delegates its command-and-control decisions to a quorum of up to four commercial LLMs (DeepSeek, Qwen, Mistral, and Google Gemini), executing their chosen next action to harvest credentials and crypto wallets without a human operator or dedicated C2 server. Discovered via Talos' CAIRN project, the binary is tied to a developer's carding-forum postings dating to 2025, though no in-the-wild deployment is confirmed.

autonomous-agent · malicious-ai-agent · llm-c2 · data-exfiltration
llm · ai-agents · windows · deepseek · qwen · mistral · gemini

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Critical Bifrost AI Gateway Flaw Lets Attackers Run Commands Without Credentials

CVE-2026-59822 is a critical authentication bypass (CVSS 8.8) in the LiteLLM AI gateway's Model Context Protocol (MCP) handler, where a failed API key validation falls back to an empty UserAPIKeyAuth() object, letting a request with a fabricated Authorization Bearer header reach underlying MCP tooling. An unauthenticated remote attacker can list and execute configured MCP tools, gaining access to connected services; the flaw affects LiteLLM versions before 1.84.0 (patched May 14, 2026) and was the first MCP-related vulnerability added to CISA's KEV catalog on September 2, 2026. Details →

Guidance for Responsible and Safe Usage - AI - Policies & Guidance - Department of Information Technology

Maryland's Department of Information Technology published Version 2.0 of its 'Guidance for Responsible and Safe Usage' governance card for MCP (Model Context Protocol) server security, covering the risk landscape, vetting criteria for MCP servers, safe usage guidelines for state staff, and special guidance for BYOD, desktop clients, and browser agents. The document notes that MCP-enabled AI can take actions such as reading files, sending messages, and querying databases, and that decentralized MCP registries mean there is no single trusted source of truth. Details →

China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies

A joint NSA, CISA, and FBI advisory (AA26-251A, Sept. 8, 2026) accuses China-based AI firms including Alibaba, DeepSeek, MiniMax, Moonshot AI, StepFun, and Z.AI of conducting industrial-scale knowledge distillation campaigns to covertly extract proprietary capabilities from US frontier models (Claude, GPT, Gemini, Grok), reportedly siphoning billions of tokens across millions of requests since late 2024. Team Cymru research complements the advisory, documenting 10,000+ hidden gateway 'transfer station' servers and tools like Claude Relay Service/sub2api that mask Chinese-origin traffic, bypass region bans, and pool provider credentials to enable large-scale output extraction and distillation. Details →

Malicious .git Configurations: A Risk for AI

Malicious repository .git/config files that set core.fsmonitor let AI coding agents execute attacker-controlled code outside their sandbox and before any trust prompt or model call. The flaw affects Block's goose (CVE-2026-72718, fixed in 1.44.0), OpenAI Codex CLI/Desktop (CVE-2026-19592), and Anthropic's Claude Code CLI (patched in v2.0.71), where each agent invokes git to gather repo metadata/diffs without stripping repository-local config, causing Git to launch the attacker's filesystem-monitor helper with the user's privileges — enabling file access and exfiltration of environment secrets and API keys. Details →

DeepSeek Harness Flaw Let AI Agents Disable Their Own File Sandbox Without Approval

OX Research disclosed CVE-2026-82533, a critical (CVSS 9.4) flaw in DeepSeek Harness, DeepSeek's open-source AI coding-agent harness, that let a sandboxed AI agent disable its own confinement with a single shell command. The agent-control API was exposed on a local HTTP port without authentication and trusted the client-supplied 'Host' header, so a confined agent could elevate its session to 'danger-full-access' with approval prompts disabled; if the port was network-exposed, an unauthenticated remote attacker could seize the agent and export all stored conversations. Details →

China-Based Artificial Intelligence Companies Conducting Industrial-Scale Distillation Campaigns Against U.S. AI Companies

A joint CISA, NSA, and FBI cybersecurity advisory (AA26-251A, September 8, 2026) warns that China-based AI companies are conducting industrial-scale knowledge distillation campaigns to systematically extract proprietary functionalities and capabilities from U.S. frontier AI models. The advisory frames this malicious, targeted distillation as the core of the Chinese firms' AI development strategy and provides MITRE ATLAS-mapped techniques and mitigations plus urgent recommendations for U.S. AI companies. Details →

Maland | Another Cursor 0-day Enabling Arbitrary Code Execution Beyond Git.exe

Cursor 3.0.0 fixes CVE-2026-48124, a sandbox-to-host code execution weakness where files created or modified by a sandboxed AI coding agent are later consumed and executed by trusted host tools (extensions, task runners, Git integrations, Python tooling, Docker services), achieving code execution beyond the sandbox without breaking OS isolation. Related research from Mindgard and others also documents a zero-click binary-planting flaw where opening a repository on Windows auto-executes a malicious git.exe planted at the repo root, with the execution surface extending beyond git.exe to other attacker-controlled files. The same class of weakness affects OpenAI Codex CLI, Google Gemini CLI, and Antigravity. Details →

NVD - CVE-2026-62676

CVE-2026-62676 is a HIGH-severity (CVSS 7.1) flaw in Omnigent, an open-source AI agent framework and meta-harness for orchestrating coding agents. Prior to 0.3.0, the shared shell-command parser in _shell.py fails to recognize combined interpreter flags, timeout/nice/setsid/stdbuf wrappers, command substitutions, and a background control operator, so a gated git push or gh write hidden in these forms produces no parsed operation, causing the repo/branch allowlist and workspace confinement policies to abstain and allow the command. An authenticated or prompt-injected agent can push to an unauthorized repository or branch or escape the intended workspace; fixed in version 0.3.0. Details →

Mitigate indirect prompt injection risks from Google Cloud MCP | Google Cloud Data Agent Kit extension for Antigravity IDE | Google Cloud Documentation

Google Cloud documentation for the Data Agent Kit extension (VS Code and Antigravity IDE) warns that coding agents connected via Google Cloud MCP can be hijacked through indirect prompt injection, where malicious instructions hidden in data sources such as Cloud Storage, BigQuery, email, or calendars are interpreted as commands. The guidance recommends mitigations including running agents in constrained environments like Cloud Workstations with disabled internet access and no root privileges. Details →

Defending Against an Active Threat to Siemens S7 Series PLCs

Five US federal agencies (NSA, CISA, FBI, DOE, EPA) issued advisory AA26-231A warning of an active threat in which attackers use AI coding assistants together with open source industrial libraries (snap7.dll/python-snap7) to generate custom exploitation scripts disguised as legitimate OT monitoring tools against internet-exposed Siemens S7 Series PLCs at water, energy, manufacturing, and other critical facilities. The AI-generated tools provide read/write access to PLC memory, configuration, and ladder logic via the S7comm protocol, and the activity is suspected to be linked to Iran-affiliated operatives. Details →

AWS, Google, and Vercel Agent Flaws Let Attackers Trigger Tools Without Running the Model

Security flaws in agent infrastructure from AWS (Bedrock AgentCore's InvokeHarness API), Google (Agent Development Kit for Python), and Vercel (AI SDK harness packages for Codex and OpenCode) allow untrusted or forged instructions to reach an agent's tools without verifying that a model turn authorized them. In several attack paths the model never ran, so system prompts, content filters, and model-level guardrails never engaged. AWS fixed the managed service, Google addressed the issues in ADK 2.5.0, and Vercel patched @ai-sdk/harness-codex 1.0.29 and @ai-sdk/harness-opencode 1.0.28. Details →

IBM's agentic AI platform is under active attack - patch now

A critical vulnerability, CVE-2026-9198, in IBM-owned low-code AI agent builder Langflow lets unauthenticated attackers achieve remote code execution on default deployments by chaining an auto-login endpoint that mints superuser tokens with a code-validation endpoint that runs arbitrary Python. CISA added it to its Known Exploited Vulnerabilities catalog after confirming active exploitation; IBM says Langflow OSS 1.0.0 through 1.10.0 are affected and urges upgrading to 1.10.1 or later. Sysdig telemetry documents in-the-wild attack chains (including related CVE-2026-33017 RCE and CVE-2026-55255 IDOR) that probe /api/v1/auto_login, enumerate flows, and deliver second-stage loaders. Details →

Paperclip AI Flaws Let Attackers Run Host Commands via Malicious Agent Imports

Two flaws in Paperclip, an open-source control plane for teams of AI agents, let attackers execute host commands by importing and starting a malicious agent. The server-side path CVE-2026-41679 (CVSS 10.0) needs no account or victim interaction against authenticated deployments with default registration, while GHSA-x8hx-rhr2-9rf7 (CVSS 9.6) triggers when a user opens an attacker-controlled page in default local_trusted mode; a third flaw exposed sensitive data via API routes lacking access checks. Version v2026.416.0 adds import-authorization and hostname-validation fixes. 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 →
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