Vulnerability-Lookup

CNVD-2020-16506

Vulnerability from cnvd - Published: 2020-03-10

Title

PyYAML输入验证错误漏洞

Description

PyYAML是一款基于Python的YAML解析器和生成器。 PyYAML中存在输入验证错误漏洞，当用户通过full_load方法或者Fullloader方法加载程序不信任的yaml文件时，容易造成任意代码执行漏洞，远程攻击者可以利用该漏洞进行任意代码执行，造成系统文件被破坏，危害系统安全。

Severity

低

Formal description

厂商尚未发布漏洞修复程序，请及时关注更新： https://pyyaml.org/

Reference

https://access.redhat.com/security/cve/cve-2020-1747

Impacted products

Name
pyyaml PyYAML

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2020-1747",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-1747"
    }
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  "description": "PyYAML\u662f\u4e00\u6b3e\u57fa\u4e8ePython\u7684YAML\u89e3\u6790\u5668\u548c\u751f\u6210\u5668\u3002\n\nPyYAML\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u5f53\u7528\u6237\u901a\u8fc7full_load\u65b9\u6cd5\u6216\u8005Fullloader\u65b9\u6cd5\u52a0\u8f7d\u7a0b\u5e8f\u4e0d\u4fe1\u4efb\u7684yaml\u6587\u4ef6\u65f6\uff0c\u5bb9\u6613\u9020\u6210\u4efb\u610f\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u4efb\u610f\u4ee3\u7801\u6267\u884c\uff0c\u9020\u6210\u7cfb\u7edf\u6587\u4ef6\u88ab\u7834\u574f\uff0c\u5371\u5bb3\u7cfb\u7edf\u5b89\u5168\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://pyyaml.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-16506",
  "openTime": "2020-03-10",
  "products": {
    "product": "pyyaml PyYAML"
  },
  "referenceLink": "https://access.redhat.com/security/cve/cve-2020-1747",
  "serverity": "\u4f4e",
  "submitTime": "2020-03-09",
  "title": "PyYAML\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2020-1747 (GCVE-0-2020-1747)

Vulnerability from cvelistv5 – Published: 2020-03-24 13:56 – Updated: 2024-08-04 06:46

Summary

A vulnerability was discovered in the PyYAML library in versions before 5.3.1, where it is susceptible to arbitrary code execution when it processes untrusted YAML files through the full_load method or with the FullLoader loader. Applications that use the library to process untrusted input may be vulnerable to this flaw. An attacker could use this flaw to execute arbitrary code on the system by abusing the python/object/new constructor.

Severity

9.8 (Critical)


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

CWE

CWE-20

Assigner

redhat redhat root Scorecard

References

10 references

URL	Tags
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://www.oracle.com/security-alerts/cpujul2022.html	x_refsource_MISC
https://bugzilla.redhat.com/show_bug.cgi?id=CVE-2…	x_refsource_CONFIRM
https://github.com/yaml/pyyaml/pull/386	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Red Hat	PyYAML	Affected: 5.3.1

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.

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.

Action not permitted

CNVD-2020-16506

CVE-2020-1747 (GCVE-0-2020-1747)

Tags

Sightings

Nomenclature

Related by attack behaviour