Vulnerability-Lookup

CNVD-2023-71221

Vulnerability from cnvd - Published: 2023-09-21

Title

Siemens QMS Automotive数据伪造问题漏洞

Description

Siemens QMS Automotive是德国西门子（Siemens）公司的一个汽车行业的质量管理系统。 Siemens QMS Automotive存在数据伪造问题漏洞，该漏洞源于受影响应用程序的QMS.Mobile模块使用较弱的过时应用程序签名机制。攻击者可利用该漏洞篡改应用程序代码。

Severity

高

Patch Name

Siemens QMS Automotive数据伪造问题漏洞的补丁

Patch Description

Siemens QMS Automotive是德国西门子（Siemens）公司的一个汽车行业的质量管理系统。 Siemens QMS Automotive存在数据伪造问题漏洞，该漏洞源于受影响应用程序的QMS.Mobile模块使用较弱的过时应用程序签名机制。攻击者可利用该漏洞篡改应用程序代码。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

用户可参考如下供应商提供的安全公告获得补丁信息： https://cert-portal.siemens.com/productcert/html/ssa-147266.html

Reference

https://cert-portal.siemens.com/productcert/html/ssa-147266.html

Impacted products

Name
Siemens QMS Automotive < V12.39

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-40727"
    }
  },
  "description": "Siemens QMS Automotive\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6c7d\u8f66\u884c\u4e1a\u7684\u8d28\u91cf\u7ba1\u7406\u7cfb\u7edf\u3002\n\nSiemens QMS Automotive\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684QMS.Mobile\u6a21\u5757\u4f7f\u7528\u8f83\u5f31\u7684\u8fc7\u65f6\u5e94\u7528\u7a0b\u5e8f\u7b7e\u540d\u673a\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7be1\u6539\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://cert-portal.siemens.com/productcert/html/ssa-147266.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-71221",
  "openTime": "2023-09-21",
  "patchDescription": "Siemens QMS Automotive\u662f\u5fb7\u56fd\u897f\u95e8\u5b50\uff08Siemens\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6c7d\u8f66\u884c\u4e1a\u7684\u8d28\u91cf\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nSiemens QMS Automotive\u5b58\u5728\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u53d7\u5f71\u54cd\u5e94\u7528\u7a0b\u5e8f\u7684QMS.Mobile\u6a21\u5757\u4f7f\u7528\u8f83\u5f31\u7684\u8fc7\u65f6\u5e94\u7528\u7a0b\u5e8f\u7b7e\u540d\u673a\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7be1\u6539\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Siemens QMS Automotive\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Siemens QMS Automotive \u003c V12.39"
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/html/ssa-147266.html",
  "serverity": "\u9ad8",
  "submitTime": "2023-09-14",
  "title": "Siemens QMS Automotive\u6570\u636e\u4f2a\u9020\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2023-40727 (GCVE-0-2023-40727)

Vulnerability from cvelistv5 – Published: 2023-09-12 09:32 – Updated: 2025-02-27 20:55

Summary

A vulnerability has been identified in QMS Automotive (All versions < V12.39). The QMS.Mobile module of the affected application uses weak outdated application signing mechanism. This could allow an attacker to tamper the application code.

Severity

7.8 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:P/RL:O/RC:C

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-26 21:51 UTC

CWE

CWE-347 - Improper Verification of Cryptographic Signature

Assigner

siemens icscert root

References

1 reference

URL	Tags
https://cert-portal.siemens.com/productcert/pdf/s…

Impacted products

1 product

Vendor	Product	Version
Siemens	QMS Automotive	Affected: All versions < V12.39

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-02T18:38:51.130Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_transferred"
            ],
            "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-147266.pdf"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2023-40727",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-02-26T21:51:51.227528Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-02-27T20:55:51.804Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unknown",
          "product": "QMS Automotive",
          "vendor": "Siemens",
          "versions": [
            {
              "status": "affected",
              "version": "All versions \u003c V12.39"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A vulnerability has been identified in QMS Automotive (All versions \u003c V12.39). The QMS.Mobile module of the affected application uses weak outdated application signing mechanism. This could allow an attacker to tamper the application code."
        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:P/RL:O/RC:C",
            "version": "3.1"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-347",
              "description": "CWE-347: Improper Verification of Cryptographic Signature",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2023-09-12T09:32:27.559Z",
        "orgId": "cec7a2ec-15b4-4faf-bd53-b40f371f3a77",
        "shortName": "siemens"
      },
      "references": [
        {
          "url": "https://cert-portal.siemens.com/productcert/pdf/ssa-147266.pdf"
        }
      ]
    }
  },
  "cveMetadata": {
    "assignerOrgId": "cec7a2ec-15b4-4faf-bd53-b40f371f3a77",
    "assignerShortName": "siemens",
    "cveId": "CVE-2023-40727",
    "datePublished": "2023-09-12T09:32:27.559Z",
    "dateReserved": "2023-08-21T10:57:08.486Z",
    "dateUpdated": "2025-02-27T20:55:51.804Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.