CVE-2026-108744 (GCVE-0-2026-108744)

Vulnerability from cvelistv5 – Published: 2026-10-11 12:19 – Updated: 2026-10-11 12:19
VLAI
Title
pbi-cli 3.10.1 through 3.12.0 OS Command Injection via Desktop Sync
Summary
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.
Severity
7.3 (High)
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
7 (High)
CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Assigner
VulnCheck CNA under the mitre root
CNA scorecard B 84/100 over 5499 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
MinaSaad1 pbi-cli Affected: 3.10.1 , ≤ 3.12.0 (semver)
guessed Create a notification for this product.
Date Public
2026-10-10 00:00
Credits
HaiND from the Post and Telecommunication Institute of Technology
Show details on NVD website
To clipboard 

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        }
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          "url": "https://github.com/MinaSaad1/pbi-cli/blob/c8655cb9a131e2ce87ae5e1380994099f693d6af/src/pbi_cli/utils/desktop_sync.py#L398-L405"
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      "title": "pbi-cli 3.10.1 through 3.12.0 OS Command Injection via Desktop Sync",
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  "cveMetadata": {
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    "datePublished": "2026-10-11T12:19:46.798Z",
    "dateReserved": "2026-10-11T01:53:19.833Z",
    "dateUpdated": "2026-10-11T12:19:46.798Z",
    "state": "PUBLISHED"
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          }
        ],
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        "lastModified": "2026-10-11T13:17:18.957",
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                "Recovery": "NOT_DEFINED",
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                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
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                "privilegesRequired": "NONE",
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}



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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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Nomenclature

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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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