BREW-OPENCLAW-CLI-CVE-20… (GHSA-782P-5FR5-7FJ8)

Vulnerability from osv_homebrew – Published: 2026-08-13 17:21 – Updated: 2026-10-04 10:42 – Source website
VLAI
Summary
OpenClaw Affected by Remote Code Execution via System Prompt Injection in Slack Channel Descriptions
Details

Summary

When the Slack integration is enabled, Slack channel metadata (topic/description) could be incorporated into the model's system prompt.

Impact

Prompt injection is a documented risk for LLM-driven systems. This issue increased the injection surface by allowing untrusted Slack channel metadata to be treated as higher-trust system input.

This is relevant only for deployments that enable Slack. In deployments where tool execution is enabled, a successful injection could lead to unintended tool invocations and/or unintended data exposure.

Affected Packages / Versions

  • npm: openclaw < 2026.2.3

Patched Versions

  • npm: openclaw >= 2026.2.3

Mitigation

  • If you do not use Slack: no action required.
  • If you use Slack: upgrade to a patched version.

Fix Commit(s)

  • 35eb40a7000b59085e9c638a80fd03917c7a095e

Thanks @KonstantinMirin for reporting.


{
  "affected": [
    {
      "ecosystem_specific": {
        "fix": "bump",
        "range_state": "fixed",
        "upstream_fixed_in": "2026.2.3"
      },
      "package": {
        "ecosystem": "Homebrew",
        "name": "openclaw-cli",
        "purl": "pkg:brew/openclaw-cli"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2026.7.1"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "database_specific": {
    "confidence": "high",
    "source": "matched",
    "strategy": "registry",
    "upstream_evidence": [
      {
        "ecosystem": "npm",
        "key": "pkg:npm/openclaw@2026.9.8",
        "name": "openclaw",
        "strategy": "registry",
        "subject_version": "2026.9.8"
      }
    ]
  },
  "details": "## Summary\nWhen the Slack integration is enabled, Slack channel metadata (topic/description) could be incorporated into the model\u0027s system prompt.\n\n## Impact\nPrompt injection is a documented risk for LLM-driven systems. This issue increased the injection surface by allowing untrusted Slack channel metadata to be treated as higher-trust system input.\n\nThis is relevant only for deployments that enable Slack. In deployments where tool execution is enabled, a successful injection could lead to unintended tool invocations and/or unintended data exposure.\n\n## Affected Packages / Versions\n- npm: `openclaw` \u003c 2026.2.3\n\n## Patched Versions\n- npm: `openclaw` \u003e= 2026.2.3\n\n## Mitigation\n- If you do not use Slack: no action required.\n- If you use Slack: upgrade to a patched version.\n\n## Fix Commit(s)\n- 35eb40a7000b59085e9c638a80fd03917c7a095e\n\nThanks @KonstantinMirin for reporting.",
  "id": "BREW-openclaw-cli-CVE-2026-24764",
  "modified": "2026-10-04T10:42:17Z",
  "published": "2026-08-13T17:21:32Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/openclaw/openclaw/security/advisories/GHSA-782p-5fr5-7fj8"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-24764"
    },
    {
      "type": "WEB",
      "url": "https://github.com/openclaw/openclaw/commit/35eb40a7000b59085e9c638a80fd03917c7a095e"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/openclaw/openclaw"
    },
    {
      "type": "WEB",
      "url": "https://github.com/openclaw/openclaw/releases/tag/v2026.2.3"
    }
  ],
  "schema_version": "1.7.3",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:L/A:N",
      "type": "CVSS_V3"
    }
  ],
  "summary": "OpenClaw Affected by Remote Code Execution via System Prompt Injection in Slack Channel Descriptions",
  "upstream": [
    "GHSA-782p-5fr5-7fj8",
    "CVE-2026-24764"
  ]
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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