Vulnerability-Lookup

CNVD-2020-32849

Vulnerability from cnvd - Published: 2020-06-13

Title

AppNeta Tcpreplay堆缓冲区溢出漏洞

Description

AppNeta Tcpreplay是美国AppNeta公司的一套基于UNIX操作系统用于编辑和重放网络流量的开源实用程序。 AppNeta Tcpreplay 4.3.2及之前版本中的tcprewrite二进制文件存在缓冲区溢出漏洞，该漏洞源于‘get_ipv6_next’函数未正确验证数据边界。攻击者可利用该漏洞获取敏感信息或导致拒绝服务。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/appneta/tcpreplay

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-12740

Impacted products

Name
Appneta Tcpreplay <=4.3.2

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-12740",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-12740"
    }
  },
  "description": "AppNeta Tcpreplay\u662f\u7f8e\u56fdAppNeta\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eUNIX\u64cd\u4f5c\u7cfb\u7edf\u7528\u4e8e\u7f16\u8f91\u548c\u91cd\u653e\u7f51\u7edc\u6d41\u91cf\u7684\u5f00\u6e90\u5b9e\u7528\u7a0b\u5e8f\u3002\n\nAppNeta Tcpreplay 4.3.2\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684tcprewrite\u4e8c\u8fdb\u5236\u6587\u4ef6\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u2018get_ipv6_next\u2019\u51fd\u6570\u672a\u6b63\u786e\u9a8c\u8bc1\u6570\u636e\u8fb9\u754c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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://github.com/appneta/tcpreplay",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-32849",
  "openTime": "2020-06-13",
  "products": {
    "product": "Appneta Tcpreplay \u003c=4.3.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-12740",
  "serverity": "\u4e2d",
  "submitTime": "2020-05-09",
  "title": "AppNeta Tcpreplay\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2020-12740 (GCVE-0-2020-12740)

Vulnerability from cvelistv5 – Published: 2020-05-08 17:03 – Updated: 2024-08-04 12:04

Summary

tcprewrite in Tcpreplay through 4.3.2 has a heap-based buffer over-read during a get_c operation. The issue is being triggered in the function get_ipv6_next() at common/get.c.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/appneta/tcpreplay/issues/576	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA

Show details on NVD website

JSON

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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.