GSD-2021-44043

Vulnerability from gsd - Updated: 2023-12-13 01:23
Details
An issue was discovered in UiPath App Studio 21.4.4. There is a persistent XSS vulnerability in the file-upload functionality for uploading icons when attempting to create new Apps. An attacker with minimal privileges in the application can build their own App and upload a malicious file containing an XSS payload, by uploading an arbitrary file and modifying the MIME type in a subsequent HTTP request. This then allows the file to be stored and retrieved from the server by other users in the same organization.
Aliases
Aliases
CVE-2021-44043
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{
  "GSD": {
    "alias": "CVE-2021-44043",
    "description": "An issue was discovered in UiPath App Studio 21.4.4. There is a persistent XSS vulnerability in the file-upload functionality for uploading icons when attempting to create new Apps. An attacker with minimal privileges in the application can build their own App and upload a malicious file containing an XSS payload, by uploading an arbitrary file and modifying the MIME type in a subsequent HTTP request. This then allows the file to be stored and retrieved from the server by other users in the same organization.",
    "id": "GSD-2021-44043"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
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      "aliases": [
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      "details": "An issue was discovered in UiPath App Studio 21.4.4. There is a persistent XSS vulnerability in the file-upload functionality for uploading icons when attempting to create new Apps. An attacker with minimal privileges in the application can build their own App and upload a malicious file containing an XSS payload, by uploading an arbitrary file and modifying the MIME type in a subsequent HTTP request. This then allows the file to be stored and retrieved from the server by other users in the same organization.",
      "id": "GSD-2021-44043",
      "modified": "2023-12-13T01:23:20.352053Z",
      "schema_version": "1.4.0"
    }
  },
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          "cvssV2": {
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            "accessVector": "NETWORK",
            "authentication": "SINGLE",
            "availabilityImpact": "NONE",
            "baseScore": 3.5,
            "confidentialityImpact": "NONE",
            "integrityImpact": "PARTIAL",
            "vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
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          "obtainAllPrivilege": false,
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            "baseScore": 5.4,
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            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "LOW",
            "scope": "CHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
            "version": "3.1"
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          "exploitabilityScore": 2.3,
          "impactScore": 2.7
        }
      },
      "lastModifiedDate": "2021-12-20T20:33Z",
      "publishedDate": "2021-12-14T18:15Z"
    }
  }
}



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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

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • 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.


Detection rules are retrieved from Rulezet.


Related by attack behaviour

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.