Vulnerability-Lookup

CNVD-2019-42877

Vulnerability from cnvd - Published: 2019-11-29

Title

Green Hills INTEGRITY RTOS栈缓冲区溢出漏洞

Description

INTEGRITY是Green Hills Software推出的一款实时操作系统(RTOS)。 Green Hills INTEGRITY RTOS 5.0.4中的Interpeak IPWEBS存在栈缓冲区溢出漏洞。攻击者可利用该漏洞导致堆栈缓冲区溢出。

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://www.ghs.com/products/rtos/integrity.html

Reference

https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-7714

Impacted products

Name
Green Hills Software INTEGRITY RTOS 5.0.4

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-7714"
    }
  },
  "description": "INTEGRITY\u662fGreen Hills Software\u63a8\u51fa\u7684\u4e00\u6b3e\u5b9e\u65f6\u64cd\u4f5c\u7cfb\u7edf(RTOS)\u3002\n\nGreen Hills INTEGRITY RTOS 5.0.4\u4e2d\u7684Interpeak IPWEBS\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u5806\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u3002",
  "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://www.ghs.com/products/rtos/integrity.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-42877",
  "openTime": "2019-11-29",
  "products": {
    "product": "Green Hills Software INTEGRITY RTOS 5.0.4"
  },
  "referenceLink": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2019-7714",
  "serverity": "\u9ad8",
  "submitTime": "2019-03-26",
  "title": "Green Hills INTEGRITY RTOS\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2019-7714 (GCVE-0-2019-7714)

Vulnerability from cvelistv5 – Published: 2019-03-26 01:01 – Updated: 2024-08-04 20:54

Summary

An issue was discovered in Interpeak IPWEBS on Green Hills INTEGRITY RTOS 5.0.4. It allocates 60 bytes for the HTTP Authentication header. However, when copying this header to parse, it does not check the size of the header, leading to a stack-based buffer overflow.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/bl4ckic3/GHS-Bugs	x_refsource_MISC
https://www.ghs.com/products/rtos/integrity.html	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "url": "https://www.ghs.com/products/rtos/integrity.html"
          }
        ],
        "title": "CVE Program Container"
      }
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          "url": "https://www.ghs.com/products/rtos/integrity.html"
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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.