Vulnerability-Lookup

CNVD-2025-21053

Vulnerability from cnvd - Published: 2025-09-08

Title

GNU Binutils越界读取漏洞

Description

GNU Binutils是GNU项目开发的一组二进制工具集，主要用于处理目标文件（如可执行文件、库文件等），涵盖编译、链接、调试等阶段的功能。 GNU Binutils存在越界读取漏洞，该漏洞源于bfd/vms-alpha.c文件中的parse_module函数，攻击者可利用该漏洞导致崩溃或访问敏感信息。

Severity

中

Patch Name

GNU Binutils越界读取漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级程序修复该安全问题，详情见厂商官网： https://ftp.gnu.org/gnu/binutils/?C=M;O=D

Reference

https://www.auscert.org.au/bulletins/ESB-2023.3013

Impacted products

Name
Gnu GNU Binutils

Show details on source website

JSON

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{
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    "cve": {
      "cveNumber": "CVE-2023-25584",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-25584"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-21053",
  "openTime": "2025-09-08",
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  "referenceLink": "https://www.auscert.org.au/bulletins/ESB-2023.3013",
  "serverity": "\u4e2d",
  "submitTime": "2023-05-29",
  "title": "GNU Binutils\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2023-25584 (GCVE-0-2023-25584)

Vulnerability from cvelistv5 – Published: 2023-09-14 20:50 – Updated: 2025-02-13 16:44

Title

Out of bounds read in parse_module function in bfd/vms-alpha.c

Summary

An out-of-bounds read flaw was found in the parse_module function in bfd/vms-alpha.c in Binutils.

Severity

6.3 (Medium)


                        
                          CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-02-23 19:33 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

redhat redhat root

References

4 references

URL	Tags
https://access.redhat.com/security/cve/CVE-2023-25584	vdb-entryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=2167467	issue-trackingx_refsource_REDHAT
https://sourceware.org/git/gitweb.cgi?p=binutils-…
https://security.netapp.com/advisory/ntap-2023110…

Impacted products

10 products

Vendor	Product	Version
n/a	binutils
Red Hat	Red Hat Enterprise Linux 6	cpe:/o:redhat:enterprise_linux:6
Red Hat	Red Hat Enterprise Linux 7	cpe:/o:redhat:enterprise_linux:7
Red Hat	Red Hat Enterprise Linux 8	cpe:/o:redhat:enterprise_linux:8
Red Hat	Red Hat Enterprise Linux 9	cpe:/o:redhat:enterprise_linux:9
Fedora	Extra Packages for Enterprise Linux 8
Fedora	Fedora 37
Fedora	Fedora 36
Fedora	Fedora
Fedora	Extra Packages for Enterprise Linux 7

Date Public

2022-12-12 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.