Vulnerability-Lookup

CNVD-2023-16471

Vulnerability from cnvd - Published: 2023-03-13

Title

Advantech R-SeeNet堆栈缓冲区溢出漏洞（CNVD-2023-16471）

Description

Advantech R-SeeNet是中国研华（Advantech）公司的一个工业监控软件。该软件基于snmp协议进行监控平台，并且适用于Linux、Windows平台。 Advantech R-SeeNet 2.4.17及以前版本存在安全漏洞，攻击可利用该漏洞导致远程代码执行。

Severity

高

Patch Name

Advantech R-SeeNet堆栈缓冲区溢出漏洞（CNVD-2023-16471）的补丁

Patch Description

Advantech R-SeeNet是中国研华（Advantech）公司的一个工业监控软件。该软件基于snmp协议进行监控平台，并且适用于Linux、Windows平台。 Advantech R-SeeNet 2.4.17及以前版本存在安全漏洞，攻击可利用该漏洞导致远程代码执行。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

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://www.cisa.gov/uscert/ics/advisories/icsa-22-291-01

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-3385

Impacted products

Name
Advantech R-SeeNet <=2.4.17

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-3385",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-3385"
    }
  },
  "description": "Advantech R-SeeNet\u662f\u4e2d\u56fd\u7814\u534e\uff08Advantech\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u4e1a\u76d1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u57fa\u4e8esnmp\u534f\u8bae\u8fdb\u884c\u76d1\u63a7\u5e73\u53f0\uff0c\u5e76\u4e14\u9002\u7528\u4e8eLinux\u3001Windows\u5e73\u53f0\u3002\n\nAdvantech R-SeeNet 2.4.17\u53ca\u4ee5\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://www.cisa.gov/uscert/ics/advisories/icsa-22-291-01",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-16471",
  "openTime": "2023-03-13",
  "patchDescription": "Advantech R-SeeNet\u662f\u4e2d\u56fd\u7814\u534e\uff08Advantech\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5de5\u4e1a\u76d1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u57fa\u4e8esnmp\u534f\u8bae\u8fdb\u884c\u76d1\u63a7\u5e73\u53f0\uff0c\u5e76\u4e14\u9002\u7528\u4e8eLinux\u3001Windows\u5e73\u53f0\u3002\r\n\r\nAdvantech R-SeeNet 2.4.17\u53ca\u4ee5\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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": "Advantech R-SeeNet\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2023-16471\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Advantech R-SeeNet \u003c=2.4.17"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-3385",
  "serverity": "\u9ad8",
  "submitTime": "2022-10-24",
  "title": "Advantech R-SeeNet\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2023-16471\uff09"
}

CVE-2022-3385 (GCVE-0-2022-3385)

Vulnerability from cvelistv5 – Published: 2022-10-27 20:16 – Updated: 2025-04-16 16:08

Summary

Advantech R-SeeNet Versions 2.4.17 and prior are vulnerable to a stack-based buffer overflow. An unauthorized attacker can remotely overflow the stack buffer and enable remote code execution.

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-16 15:53 UTC

CWE

CWE-121 - Stack-based Buffer Overflow

Assigner

icscert icscert root

References

1 reference

URL	Tags
https://www.cisa.gov/uscert/ics/advisories/icsa-2…	government-resource

Impacted products

1 product

Vendor	Product	Version
Advantech	R-SeeNet	Affected: 0 , ≤ 2.4.17 (custom)

Credits

rgod Trend Micro Zero Day Initiative

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-03T01:07:06.589Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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              "x_transferred"
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            "url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-291-01"
          }
        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
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              "content": {
                "id": "CVE-2022-3385",
                "options": [
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                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "yes"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-04-16T15:53:23.279964Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
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          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-04-16T16:08:23.254Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "defaultStatus": "unaffected",
          "product": "R-SeeNet",
          "vendor": "Advantech",
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            {
              "lessThanOrEqual": "2.4.17",
              "status": "affected",
              "version": "0",
              "versionType": "custom"
            }
          ]
        }
      ],
      "credits": [
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          "lang": "en",
          "type": "finder",
          "user": "00000000-0000-4000-9000-000000000000",
          "value": "rgod"
        },
        {
          "lang": "en",
          "type": "reporter",
          "user": "00000000-0000-4000-9000-000000000000",
          "value": "Trend Micro Zero Day Initiative"
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "supportingMedia": [
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              "type": "text/html",
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            }
          ],
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        }
      ],
      "metrics": [
        {
          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 9.8,
            "baseSeverity": "CRITICAL",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
            "version": "3.1"
          },
          "format": "CVSS",
          "scenarios": [
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              "lang": "en",
              "value": "GENERAL"
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          ]
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      "problemTypes": [
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      "providerMetadata": {
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        "shortName": "icscert"
      },
      "references": [
        {
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          ],
          "url": "https://www.cisa.gov/uscert/ics/advisories/icsa-22-291-01"
        }
      ],
      "source": {
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      },
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  "cveMetadata": {
    "assignerOrgId": "7d14cffa-0d7d-4270-9dc0-52cabd5a23a6",
    "assignerShortName": "icscert",
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    "datePublished": "2022-10-27T20:16:37.877Z",
    "dateReserved": "2022-09-30T19:46:03.191Z",
    "dateUpdated": "2025-04-16T16:08:23.254Z",
    "requesterUserId": "bc31a57b-b1a5-40e2-9263-67c0ae8a3b8a",
    "state": "PUBLISHED"
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  "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.