CNVD-2021-99296

Vulnerability from cnvd - Published: 2021-12-13
VLAI
Title
Tcpreplay堆缓冲区溢出漏洞(CNVD-2021-99296)
Description
Tcpreplay是一套用于UNIX操作系统的GPLv3许可实用程序,用于编辑和重放由tcpdump和Ethereal/Wireshark等工具捕获的网络流量。 Tcpreplay 4.3.2版中的edit_packet.c中的randomize_iparp函数存在堆缓冲区溢出漏洞。攻击者可通过特制pcap利用该漏洞导致拒绝服务。
Severity
Patch Name
Tcpreplay堆缓冲区溢出漏洞(CNVD-2021-99296)的补丁
Patch Description
Tcpreplay是一套用于UNIX操作系统的GPLv3许可实用程序,用于编辑和重放由tcpdump和Ethereal/Wireshark等工具捕获的网络流量。 Tcpreplay 4.3.2版中的edit_packet.c中的randomize_iparp函数存在堆缓冲区溢出漏洞。攻击者可通过特制pcap利用该漏洞导致拒绝服务。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

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/appneta/tcpreplay/pull/588

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-23273
Impacted products
Name
Tcpreplay Tcpreplay 4.3.2
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-23273",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-23273"
    }
  },
  "description": "Tcpreplay\u662f\u4e00\u5957\u7528\u4e8eUNIX\u64cd\u4f5c\u7cfb\u7edf\u7684GPLv3\u8bb8\u53ef\u5b9e\u7528\u7a0b\u5e8f\uff0c\u7528\u4e8e\u7f16\u8f91\u548c\u91cd\u653e\u7531tcpdump\u548cEthereal/Wireshark\u7b49\u5de5\u5177\u6355\u83b7\u7684\u7f51\u7edc\u6d41\u91cf\u3002\n\nTcpreplay 4.3.2\u7248\u4e2d\u7684edit_packet.c\u4e2d\u7684randomize_iparp\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236pcap\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/appneta/tcpreplay/pull/588",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-99296",
  "openTime": "2021-12-13",
  "patchDescription": "Tcpreplay\u662f\u4e00\u5957\u7528\u4e8eUNIX\u64cd\u4f5c\u7cfb\u7edf\u7684GPLv3\u8bb8\u53ef\u5b9e\u7528\u7a0b\u5e8f\uff0c\u7528\u4e8e\u7f16\u8f91\u548c\u91cd\u653e\u7531tcpdump\u548cEthereal/Wireshark\u7b49\u5de5\u5177\u6355\u83b7\u7684\u7f51\u7edc\u6d41\u91cf\u3002\r\n\r\nTcpreplay 4.3.2\u7248\u4e2d\u7684edit_packet.c\u4e2d\u7684randomize_iparp\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236pcap\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\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": "Tcpreplay\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-99296\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Tcpreplay Tcpreplay 4.3.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-23273",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-22",
  "title": "Tcpreplay\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-99296\uff09"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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Detection rules are retrieved from Rulezet.

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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.


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