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Model Context Protocol

4 mentions in 7 days · 6 in 30 days · 8 total · first seen · last

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OpenAI Builds ‘Defense Factory’ Where AI Agents Continuously Find and Fix Vulnerabilities

OpenAI unveils a Defense Factory where AI agents continuously discover, validate, and fix vulnerabilities, integrating GitHub, Snyk, Semgrep, Tenable, and ServiceNow.

OpenAI introduced a Defense Factory, an agent-first cybersecurity operation that connects AI agents to developer and security tools via APIs, CLIs, and Model Context Protocol integrations including GitHub, GitLab, Snyk, Semgrep, Tenable, Jira, Linear, and ServiceNow. During an internal security sprint, over 250 people across more than 100 service areas closed 53 urgent or high-priority issues on day one, achieved a 90.6% accepted ownership-assignment rate, and Codex generated all remediation patches with only 0.53% rolled back. Agent-assisted deduplication flagged 37% of findings as duplicates, and runtime validation reproduced 19.5% of findings, cutting the false-positive rate to 0.81%. OpenAI argues defenders must exploit a temporary 'defender's window' using source-code access and frontier models before open-weight models enable autonomous offensive agent fleets.

Cyber Security News · 5d agoTools 4 sources

iceener/files-stdio-mcp-server: sandbox escape in fs_search via a symlinked directory (recursive walker validates only the top level)

iceener/files-stdio-mcp-server allows a read-side sandbox escape: fs_search follows symlinked directories while the recursive walker validates confinement only at the top level.

A vulnerability report describes a read-side sandbox escape in iceener/files-stdio-mcp-server, an MCP server for text-based file access that explicitly promises 'Sandboxed filesystem access. Only these paths are available'. The fs_search tool can follow symlinked directories outside the allowed paths, and the recursive directory-listing walker used by fs_search (and by fs_read) validates confinement only at the top level. The same flaw affects fs_read's directory-listing walker. No CVE identifier was assigned in the provided report text.

oss-security · 5d agoVulnerability

Off Guard: Breaking LiteLLM from authentication bypass to cloud compromise

Wiz found LiteLLM auth bypass (CVE-2026-59822) and post-auth RCE (CVE-2026-59821) chainable to cloud compromise; the bypass is in CISA KEV with in-the-wild exploitation.

Wiz scanned roughly 3,074 internet-facing LiteLLM deployments and found 9.6% accepted the default master key sk-1234 or required no authentication, making post-auth attacks effectively pre-auth. The MCP endpoint accepts any Bearer token and grants a valid session (CVE-2026-59822), confirmed exploited in the wild via honeypots and added to CISA's Known Exploited Vulnerabilities catalog. Custom code guardrails allow post-auth root-level RCE via exec(compile(...)) (CVE-2026-59821), while pass-through endpoints lack URL validation, enabling cloud credential theft in post-auth scenarios. All assigned vulnerabilities have been patched; the research was presented at DEF CON 34.

Wiz Blogupdated · 5d agofirst · 6d agoExploit / PoC in the wild 4 sourcesCVE-2026-59822CVE-2026-59821

Infostealers Target Claude, Cursor, Codex and Other AI Agents to Steal Credentials and Sensitive Data

Gen Digital researchers report infostealer families Amatera, Remus and CallbackBeaver now harvest Claude, Cursor and Codex agent data, including tokens and MCP configs.

Gen Digital researchers found commodity infostealers extending their collection rules to local AI coding agent data from Claude, Cursor, Codex, Cline, Continue and OpenCode on Windows and macOS. Amatera targets Cline and Continue, Remus targets Claude, Cursor and OpenCode, and CallbackBeaver added Claude and Cursor with more than 5,000 samples observed in 30 days; Djinn Stealer hits Claude, Codex, Gemini, Cline, OpenCode and Kilo on macOS. Stolen data includes access and refresh tokens, prompt histories, conversation databases and MCP configurations holding API keys, potentially exposing connected source-control, cloud and ticketing systems. Remus is assessed as a Lumma Stealer variant using EtherHiding C2 resolution via Ethereum smart contracts.

GBHackersupdated · 5d agofirst · 6d agoMalware in the wild 4 sources1

ToolHive: The open-source way to run any MCP server securely

Stacklok's open-source ToolHive runs Model Context Protocol servers in isolated containers with per-request identity enforcement, audit logging and a signed registry.

ToolHive, shipped under Apache 2.0, containersizes MCP servers locally via Docker or Podman or in clusters through a Kubernetes operator, applying permissions, network filtering, and secrets management. The platform includes a Registry Server implementing the official MCP Registry API with signing and provenance verification, a Virtual MCP Server gateway with OIDC/OAuth single sign-on and OpenTelemetry traces, and a desktop Portal for one-click installs. The browser-based cloud UI is retired, so the desktop app and CLI are the supported rollout paths.

Help Net Security · 8d agoAI tools & infra1

How MCP Servers Can Expose Enterprise Secrets

MCP servers holding AI agent credentials risk secret exposure via plaintext configs, credential sprawl, prompt injection, and over-permissioning; mitigations include centralization and least privilege.

The article examines how Model Context Protocol servers, which hold API keys, tokens, and service-account credentials for AI agents, can leak enterprise secrets. Documented exposure paths include plaintext credentials in config files, ungoverned credential sprawl, prompt injection, over-permissioning, and untrusted third-party servers. It cites CVE-2025-6514 in mcp-remote (400,000+ downloads), where a malicious server triggered OS command injection leading to remote code execution. Recommended mitigations include centralized secret stores, short-lived auto-rotated credentials, least privilege, and human approval for sensitive actions.

The Hacker News · 29d agoAI safety & securityCVE-2025-6514

How Cloudflare detects MCP traffic and helps secure it

Cloudflare Gateway now detects Model Context Protocol traffic via protocol-level heuristics to expose shadow MCP usage and enforce approved-server access.

Cloudflare Gateway identifies Model Context Protocol (MCP) requests using protocol-level heuristics. Security teams can use the signal to discover shadow MCP traffic on managed networks, enforce Portal-only access for approved MCP servers, and block direct connections. The updates extend standard gateway and zero-trust controls to AI agent traffic.

Cloudflare Blog · Aug 14, 2026Tools

Malicious MCP Servers Can Split Instructions to Make AI Coding Agents Exfiltrate Secrets

ASSET Research Group's GhostSplice technique splits malicious instructions across MCP channels, tricking AI coding agents into exfiltrating SSH keys, source code, and secrets.

ASSET Research Group disclosed GhostSplice, a prompt-injection technique in which a malicious Model Context Protocol (MCP) server splits an exfiltration instruction across a tool description and a tool result so no single fragment appears harmful. In the reference implementation, a benign-looking integrity_checker tool with fields alpha through delta is later paired with a project-scan result mapping those fields to .ssh/id_rsa, proprietary source, customers.csv, and .env. Tests across eleven API-tested models showed average compliance rising from 42% to 82% when instructions were split in two, with GPT-4o, Gemini 2.0 Flash, and Llama 3.3 70B going from 0% to 100%. The findings come from controlled lab tests, not a reported real-world intrusion, and no CVE identifiers had been assigned as of August 10, 2026.

The Hacker News · Aug 11, 2026AI safety & security1

Related CVEs

  • CVE-2026-598228.8<1%
    Unauthenticated MCP Endpoint Authentication Bypass in BerriAI LiteLLM
    BerriAI LiteLLM, a widely used self-hosted AI gateway and proxy server for calling LLM APIs, fails to properly authenticate requests to its MCP Streamable HTTP endpoint in versions prior to 1.84.0. An unauthenticated attacker can send a fabricated Authorization header that triggers an OAuth2 passthrough fallback, which replaces failed LiteLLM key validation with an empty UserAPIKeyAuth() object and lets the request reach MCP tooling without any valid LiteLLM key. Successful exploitation grants unauthenticated access to the gateway's MCP tooling with high confidentiality impact per the CVSS 4.0 score of 8.8, and public reporting describes attackers chaining LiteLLM weaknesses from authentication bypass to root code execution and cloud credential theft. Any organization running LiteLLM before 1.84.0 is affected, particularly gateways exposed to the internet. The flaw is confirmed exploited in the wild: CISA added it to the Known Exploited Vulnerabilities catalog on 2026-09-02, while EPSS currently estimates a 0.9% probability of exploitation in the next 30 days.
    · BerriAI LiteLLM all versions prior to 1.84.0 (fixed in 1.84.0) KEVmoderate
  • CVE-2025-65149.678%
    Critical OS Command Injection in mcp-remote Enables RCE via Untrusted MCP Servers
    CVE-2025-6514 is a critical OS command injection vulnerability (CWE-78, CVSS 9.6) in the mcp-remote tool, which bridges remote MCP (Model Context Protocol) servers into AI clients. It is triggered when mcp-remote connects to a malicious or untrusted MCP server: crafted data in the authorization_endpoint response URL supplied during the OAuth flow is executed as an operating system command. An attacker who controls or compromises an MCP server gains remote code execution on the host running mcp-remote with that user's privileges, potentially exposing enterprise secrets such as API keys, tokens, and local files. Affected users are developers and organizations running mcp-remote to connect AI agents and MCP clients to third-party MCP servers; the data does not specify affected version ranges. As of now there is no public proof-of-concept and it is not in CISA KEV, but the 77.9% EPSS score (100th percentile) indicates a very high probability of exploitation within 30 days.
    · mcp-remote project (npm package) mcp-remotelarge
  • CVE-2026-598212.1<1%
    LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format.
    LiteLLM is a proxy server (AI Gateway) to call LLM APIs in OpenAI (or native) format. Prior to 1.82.0-stable, LiteLLM's Custom Code Guardrails production create and update paths did not apply the same sandboxing and validation used by the test endpoint, allowing a privileged user with access to create or update guardrails to submit custom Python code that executed in the LiteLLM proxy environment and could expose secrets available to the process. This issue is fixed in version 1.82.0-stable.
    · litellm litellm—

Appears with

product Cursor 2vendor OpenAI 2product Codex 2malware BeeStealer 1malware HydraStealer 1malware Lumma Stealer 1malware Djinn Stealer 1malware Remus 1malware STG Stealer 1ai model Claude Haiku 4.5 1ai model Claude Opus 4.6 1ai model Claude Sonnet 4.6 1ai model Codex 1ai model Gemini 2.0 Flash 1ai model GPT-4o 1malware Otter Stealer 1
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