FKIE_CVE-2026-91140

Vulnerability from fkie_nvd - Published: 2026-10-06 14:17 - Updated: 2026-10-07 04:18
Severity
9.6 (Critical) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H
Summary
An OS command injection vulnerability in the shell-based temporary-file cleanup instructions in Progress Software Autonomous REST Connector GenAI Agents ARCGenAI-Generator version 2.0 allows an attacker who supplies a crafted Swagger/OpenAPI document to execute arbitrary commands on a developer's machine when a user invokes the generator.
References
security@progress.comhttps://community.progress.com/s/article/Progress-DataDirect-Critical-Security-Alert-Bulletin-September-2026-CVE-2026-91140
security@progress.comhttps://github.com/progress/datadirect-arc-ai-model-gen/commit/7ede6d96eb033d647ffdcabf8d8069c098293575
Impacted products
Vendor Product Version
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "product": "Autonomous REST Connector GenAI Agents",
          "vendor": "Progress Software",
          "versions": [
            {
              "lessThan": "2.1",
              "status": "affected",
              "version": "2.0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@progress.com"
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "An OS command injection vulnerability in the shell-based temporary-file cleanup instructions in Progress Software Autonomous REST Connector GenAI Agents ARCGenAI-Generator version 2.0 allows an attacker who supplies a crafted Swagger/OpenAPI document to execute arbitrary commands on a developer\u0027s machine when a user invokes the generator."
    }
  ],
  "id": "CVE-2026-91140",
  "lastModified": "2026-10-07T04:18:10.610",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 9.6,
          "baseSeverity": "CRITICAL",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "CHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 6.0,
        "source": "security@progress.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-91140",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-10-06T00:00:00+00:00",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-10-06T14:17:48.407",
  "references": [
    {
      "source": "security@progress.com",
      "url": "https://community.progress.com/s/article/Progress-DataDirect-Critical-Security-Alert-Bulletin-September-2026-CVE-2026-91140"
    },
    {
      "source": "security@progress.com",
      "url": "https://github.com/progress/datadirect-arc-ai-model-gen/commit/7ede6d96eb033d647ffdcabf8d8069c098293575"
    }
  ],
  "sourceIdentifier": "security@progress.com",
  "vulnStatus": "Awaiting Analysis",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-78"
        }
      ],
      "source": "security@progress.com",
      "type": "Secondary"
    }
  ]
}



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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.

Sightings

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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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Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.