Vulnerability-Lookup

CNVD-2021-101680

Vulnerability from cnvd - Published: 2021-12-23

Title

NumPy存在未明漏洞（CNVD-2021-101680）

Description

NumPy是一个Python科学计算包。该产品支持大量的维度数组与矩阵计算，同时针对数据运算提供大量的数学函数库。 NumPy 1.9存在安全漏洞，该漏洞源于软件中不完整的字符串比较。攻击者可利用该漏洞通过构造特定的字符串对象来破坏api。

Severity

高

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://github.com/numpy/numpy/pull/19539

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-34141

Impacted products

Name
NumPy NumPy >=1.9.0，<=1.9.3

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2021-34141"
    }
  },
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  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/numpy/numpy/pull/19539",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-101680",
  "openTime": "2021-12-23",
  "products": {
    "product": "NumPy NumPy \u003e=1.9.0\uff0c\u003c=1.9.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-34141",
  "serverity": "\u9ad8",
  "submitTime": "2021-12-21",
  "title": "NumPy\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2021-101680\uff09"
}

CVE-2021-34141 (GCVE-0-2021-34141)

Vulnerability from cvelistv5 – Published: 2021-12-17 18:43 – Updated: 2026-10-08 21:03

Summary

An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-10-08 20:55 UTC

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2349 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/numpy/numpy/issues/18993	x_refsource_MISC
https://www.oracle.com/security-alerts/cpujul2022.html	x_refsource_MISC

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.

Vulnerability timeline

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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.

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