Vulnerability-Lookup

CNVD-2019-03310

Vulnerability from cnvd - Published: 2019-01-30

Title

多款Fuji Electric产品缓冲区溢出漏洞

Description

Fuji Electric FRENIC Loader等都是日本富士电机（Fuji Electric）公司的变频器。多款Fuji Electric产品中存在栈缓冲区溢出漏洞，该漏洞源于程序未能正确的检测用户提交的评论。远程攻击者可利用该漏洞执行任意代码。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://ics-cert.us-cert.gov/advisories/ICSA-18-270-03

Reference

https://www.securityfocus.com/bid/105408

Impacted products

Name
['Fuji Electric FRENIC Loader 3.3', 'Fuji Electric FRENIC-Mini (C1) 7.3.4.1a', 'Fuji Electric FRENIC-Mini (C2) 7.3.4.1a', 'Fuji Electric FRENIC-Eco 7.3.4.1a', 'Fuji Electric FRENIC-Multi 7.3.4.1a', 'Fuji Electric FRENIC-MEGA 7.3.4.1a', 'Fuji Electric FRENIC-AceA 7.3.4.1a']

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{
  "bids": {
    "bid": {
      "bidNumber": "105408"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-14802",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-14802"
    }
  },
  "description": "Fuji Electric FRENIC Loader\u7b49\u90fd\u662f\u65e5\u672c\u5bcc\u58eb\u7535\u673a\uff08Fuji Electric\uff09\u516c\u53f8\u7684\u53d8\u9891\u5668\u3002\n\n\u591a\u6b3eFuji Electric\u4ea7\u54c1\u4e2d\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u7684\u68c0\u6d4b\u7528\u6237\u63d0\u4ea4\u7684\u8bc4\u8bba\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Michael Flanders and Ghirmay Desta",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://ics-cert.us-cert.gov/advisories/ICSA-18-270-03",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-03310",
  "openTime": "2019-01-30",
  "products": {
    "product": [
      "Fuji Electric FRENIC Loader 3.3",
      "Fuji Electric FRENIC-Mini (C1) 7.3.4.1a",
      "Fuji Electric FRENIC-Mini (C2) 7.3.4.1a",
      "Fuji Electric FRENIC-Eco 7.3.4.1a",
      "Fuji Electric FRENIC-Multi 7.3.4.1a",
      "Fuji Electric FRENIC-MEGA 7.3.4.1a",
      "Fuji Electric FRENIC-AceA 7.3.4.1a"
    ]
  },
  "referenceLink": "https://www.securityfocus.com/bid/105408",
  "serverity": "\u9ad8",
  "submitTime": "2018-09-29",
  "title": "\u591a\u6b3eFuji Electric\u4ea7\u54c1\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-14802 (GCVE-0-2018-14802)

Vulnerability from cvelistv5 – Published: 2018-10-01 13:00 – Updated: 2024-09-16 19:47

Summary

Fuji Electric FRENIC LOADER v3.3 v7.3.4.1a of FRENIC-Mini (C1), FRENIC-Mini (C2), FRENIC-Eco, FRENIC-Multi, FRENIC-MEGA, FRENIC-Ace. The program does not properly check user-supplied comments which may allow for arbitrary remote code execution.

Severity

No CVSS data available.

CWE

CWE-121 - STACK-BASED BUFFER OVERFLOW CWE-121

Assigner

icscert icscert root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/105408	vdb-entryx_refsource_BID
https://ics-cert.us-cert.gov/advisories/ICSA-18-270-03	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Fuji Electric	FRENIC LOADER of FRENIC-Mini (C1), FRENIC-Mini (C2), FRENIC-Eco, FRENIC-Multi, FRENIC-MEGA, FRENIC-Ace	Affected: v3.3 v7.3.4.1a

Date Public

2018-09-27 00:00

Show details on NVD website

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{
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      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T09:38:13.971Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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        "references": [
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            "name": "105408",
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              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/105408"
          },
          {
            "tags": [
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            ],
            "url": "https://ics-cert.us-cert.gov/advisories/ICSA-18-270-03"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "FRENIC LOADER of FRENIC-Mini (C1), FRENIC-Mini (C2), FRENIC-Eco, FRENIC-Multi, FRENIC-MEGA, FRENIC-Ace",
          "vendor": "Fuji Electric",
          "versions": [
            {
              "status": "affected",
              "version": "v3.3 v7.3.4.1a"
            }
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        }
      ],
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      ],
      "providerMetadata": {
        "dateUpdated": "2018-10-02T09:57:01.000Z",
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      },
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          "url": "https://ics-cert.us-cert.gov/advisories/ICSA-18-270-03"
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        },
        "affects": {
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            "vendor_data": [
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                      "version": {
                        "version_data": [
                          {
                            "version_value": "v3.3 v7.3.4.1a"
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              "refsource": "MISC",
              "url": "https://ics-cert.us-cert.gov/advisories/ICSA-18-270-03"
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          ]
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  },
  "cveMetadata": {
    "assignerOrgId": "7d14cffa-0d7d-4270-9dc0-52cabd5a23a6",
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    "state": "PUBLISHED"
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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.