GHSA-JVCC-R2CM-664X

Vulnerability from github – Published: 2026-10-11 15:31 – Updated: 2026-10-11 15:31
VLAI
Details

pbi-cli 3.10.1 through 3.12.0 contains an OS command injection vulnerability in desktop_sync.py that passes unquoted .pbip paths to cmd /c start when reopening projects. Attackers can lure victims into opening a Power BI project from a space-free path containing & to run commands with victim privileges during report write or reload.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-108744"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-78"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-10-11T13:17:18Z",
    "severity": "HIGH"
  },
  "details": "pbi-cli 3.10.1 through 3.12.0 contains an OS command injection vulnerability in desktop_sync.py that passes unquoted .pbip paths to cmd /c start when reopening projects. Attackers can lure victims into opening a Power BI project from a space-free path containing \u0026 to run commands with victim privileges during report write or reload.",
  "id": "GHSA-jvcc-r2cm-664x",
  "modified": "2026-10-11T15:31:05Z",
  "published": "2026-10-11T15:31:05Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-108744"
    },
    {
      "type": "WEB",
      "url": "https://github.com/MinaSaad1/pbi-cli"
    },
    {
      "type": "WEB",
      "url": "https://github.com/MinaSaad1/pbi-cli/blob/c8655cb9a131e2ce87ae5e1380994099f693d6af/src/pbi_cli/utils/desktop_sync.py#L286-L291"
    },
    {
      "type": "WEB",
      "url": "https://github.com/MinaSaad1/pbi-cli/blob/c8655cb9a131e2ce87ae5e1380994099f693d6af/src/pbi_cli/utils/desktop_sync.py#L398-L405"
    },
    {
      "type": "WEB",
      "url": "https://hackmd.io/@haind/pbi-cli-desktop-sync-pbip-cmd-argument-injection"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/pbi-cli-3.10.1-through-3.12.0-os-command-injection-via-desktop-sync"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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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