Vulnerability-Lookup

CNVD-2017-32487

Vulnerability from cnvd - Published: 2017-11-02

Title

GNU Binutils libbfd opncls.c bfd_get_debug_link_info_1拒绝服务漏洞

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。Binary File Descriptor（BFD）library（又名libbfd）是其中的一个以各种格式便携式操作对象文件的库。 GNU Binutils 2.29版本中的BFD库的opncls.c文件的bfd_get_debug_link_info_1存在安全漏洞。远程攻击者可借助特制的ELF文件利用该漏洞造成拒绝服务（基于堆的缓冲区越边界读取和应用程序崩溃）。

Severity

中

Patch Name

GNU Binutils libbfd opncls.c bfd_get_debug_link_info_1拒绝服务漏洞的补丁

Patch Description

Formal description

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://sourceware.org/git/gitweb.cgi?p=binutils-gdb.git;h=52b36c51e5bf6d7600fdc6ba115b170b0e78e31d

Reference

https://sourceware.org/git/gitweb.cgi?p=binutils-gdb.git;h=52b36c51e5bf6d7600fdc6ba115b170b0e78e31d

Impacted products

Name
GNU Binutils 2.29

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2017-15021"
    }
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  "discovererName": "Agostino Sarubbo",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://sourceware.org/git/gitweb.cgi?p=binutils-gdb.git;h=52b36c51e5bf6d7600fdc6ba115b170b0e78e31d",
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  "number": "CNVD-2017-32487",
  "openTime": "2017-11-02",
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  "patchName": "GNU Binutils libbfd opncls.c bfd_get_debug_link_info_1\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GNU Binutils 2.29"
  },
  "referenceLink": "https://sourceware.org/git/gitweb.cgi?p=binutils-gdb.git;h=52b36c51e5bf6d7600fdc6ba115b170b0e78e31d",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-09",
  "title": "GNU Binutils libbfd opncls.c bfd_get_debug_link_info_1\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-15021 (GCVE-0-2017-15021)

Vulnerability from cvelistv5 – Published: 2017-10-04 07:00 – Updated: 2024-08-05 19:42

Summary

bfd_get_debug_link_info_1 in opncls.c in the Binary File Descriptor (BFD) library (aka libbfd), as distributed in GNU Binutils 2.29, allows remote attackers to cause a denial of service (heap-based buffer over-read and application crash) via a crafted ELF file, related to bfd_getl32.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://blogs.gentoo.org/ago/2017/10/03/binutils-…	x_refsource_MISC
https://sourceware.org/bugzilla/show_bug.cgi?id=22197	x_refsource_MISC
https://sourceware.org/git/gitweb.cgi?p=binutils-…	x_refsource_MISC

Date Public

2017-10-04 00:00

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.