Vulnerability-Lookup

GSD-2022-31596

Vulnerability from gsd - Updated: 2023-12-13 01:19

Details

Under certain conditions, an attacker authenticated as a CMS administrator and with high privileges access to the Network in SAP BusinessObjects Business Intelligence Platform (Monitoring DB) - version 430, can access BOE Monitoring database to retrieve and modify (non-personal) system data which would otherwise be restricted. Also, a potential attack could be used to leave the CMS's scope and impact the database. A successful attack could have a low impact on confidentiality, a high impact on integrity, and a low impact on availability.

Aliases

CVE-2022-31596

Aliases

CVE-2022-31596

JSON

To clipboard

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    "alias": "CVE-2022-31596",
    "description": "Under certain conditions, an attacker authenticated as a CMS administrator and with high privileges access to the Network in SAP BusinessObjects Business Intelligence Platform (Monitoring DB) - version 430, can access BOE Monitoring database to retrieve and modify (non-personal) system data which would otherwise be restricted. Also, a potential attack could be used to leave the CMS\u0027s scope and impact the database. A successful attack could have a low impact on confidentiality, a high impact on integrity, and a low impact on availability.",
    "id": "GSD-2022-31596"
  },
  "gsd": {
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      "remediation": "unknown",
      "reportConfidence": "confirmed",
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    },
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        "CVE-2022-31596"
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          "impactScore": 4.7
        }
      },
      "lastModifiedDate": "2022-12-13T17:59Z",
      "publishedDate": "2022-12-12T04:15Z"
    }
  }
}

CVE-2022-31596 (GCVE-0-2022-31596)

Vulnerability from cvelistv5 – Published: 2022-12-12 03:43 – Updated: 2025-04-22 17:56

Summary

Severity

6 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:H/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-22 17:56 UTC

CWE

CWE-668 - Exposure of Resource to Wrong Sphere

Assigner

sap mitre root

References

2 references

URL	Tags
https://launchpad.support.sap.com/#/notes/3213507
https://www.sap.com/documents/2022/02/fa865ea4-16…

Impacted products

1 product

Vendor	Product	Version
SAP	SAP Business Objects Platform (Monitoring DB)	Affected: 430

Show details on NVD website

JSON

To clipboard

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            "other": {
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                "options": [
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                    "Exploitation": "none"
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                "role": "CISA Coordinator",
                "timestamp": "2025-04-22T17:56:14.348501Z",
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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.