Vulnerability-Lookup

CNVD-2018-12046

Vulnerability from cnvd - Published: 2018-06-26

Title

GNU Binutils拒绝服务漏洞（CNVD-2018-12046）

Description

GNU Binutils（又名GNU Binary Utilities或binutils）是GNU计划开发的一组编程语言工具程序，它主要用于处理多种格式的目标文件，并提供有连接器、汇编器和其他用于目标文件和档案的工具。GNU libiberty是其中的一个GNU程序使用的子程序的集合。 GNU Binutils 2.30版本中的GNU libiberty的cplus-dem.c文件的‘demangle_template’函数存在安全漏洞。攻击者可利用该漏洞消耗大量内存。

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://www.gnu.org/software/binutils/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-12698

Impacted products

Name
GNU Binutils 2.30

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2018-12698"
    }
  },
  "description": "GNU Binutils\uff08\u53c8\u540dGNU Binary Utilities\u6216binutils\uff09\u662fGNU\u8ba1\u5212\u5f00\u53d1\u7684\u4e00\u7ec4\u7f16\u7a0b\u8bed\u8a00\u5de5\u5177\u7a0b\u5e8f\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684\u76ee\u6807\u6587\u4ef6\uff0c\u5e76\u63d0\u4f9b\u6709\u8fde\u63a5\u5668\u3001\u6c47\u7f16\u5668\u548c\u5176\u4ed6\u7528\u4e8e\u76ee\u6807\u6587\u4ef6\u548c\u6863\u6848\u7684\u5de5\u5177\u3002GNU libiberty\u662f\u5176\u4e2d\u7684\u4e00\u4e2aGNU\u7a0b\u5e8f\u4f7f\u7528\u7684\u5b50\u7a0b\u5e8f\u7684\u96c6\u5408\u3002\r\n\r\nGNU Binutils 2.30\u7248\u672c\u4e2d\u7684GNU libiberty\u7684cplus-dem.c\u6587\u4ef6\u7684\u2018demangle_template\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6d88\u8017\u5927\u91cf\u5185\u5b58\u3002",
  "discovererName": "Sergej Schumilo",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-12046",
  "openTime": "2018-06-26",
  "products": {
    "product": "GNU Binutils 2.30"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-12698",
  "serverity": "\u4e2d",
  "submitTime": "2018-06-25",
  "title": "GNU Binutils\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2018-12046\uff09"
}

CVE-2018-12698 (GCVE-0-2018-12698)

Vulnerability from cvelistv5 – Published: 2018-06-23 22:00 – Updated: 2024-08-05 08:45

Summary

demangle_template in cplus-dem.c in GNU libiberty, as distributed in GNU Binutils 2.30, allows attackers to trigger excessive memory consumption (aka OOM) during the "Create an array for saving the template argument values" XNEWVEC call. This can occur during execution of objdump.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

7 references

URL	Tags
https://bugs.launchpad.net/ubuntu/+source/binutil…	x_refsource_MISC
https://sourceware.org/bugzilla/show_bug.cgi?id=23057	x_refsource_MISC
https://gcc.gnu.org/bugzilla/show_bug.cgi?id=85454	x_refsource_MISC
http://www.securityfocus.com/bid/104539	vdb-entryx_refsource_BID
https://security.gentoo.org/glsa/201908-01	vendor-advisoryx_refsource_GENTOO
https://usn.ubuntu.com/4326-1/	vendor-advisoryx_refsource_UBUNTU
https://usn.ubuntu.com/4336-1/	vendor-advisoryx_refsource_UBUNTU

Date Public

2018-06-23 00:00

Show details on NVD website

JSON

To clipboard

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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.