Vulnerability-Lookup

CNVD-2017-36481

Vulnerability from cnvd - Published: 2017-12-05

Title

Django-make-app任意命令执行漏洞

Description

django_make_app是一款用于生成Django应用程序代码的工具。 django_make_app 0.1.3版本中的io_utils.py文件的read_yaml_file方法的YAML解析功能存在安全漏洞。攻击者可通过向已加载的YAML中注入Python利用该漏洞执行任意的Python命令。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/illagrenan/django-make-app

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-16764

Impacted products

Name
Django_make_app django_make_app 0.1.3

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-16764"
    }
  },
  "description": "django_make_app\u662f\u4e00\u6b3e\u7528\u4e8e\u751f\u6210Django\u5e94\u7528\u7a0b\u5e8f\u4ee3\u7801\u7684\u5de5\u5177\u3002\r\n\r\ndjango_make_app 0.1.3\u7248\u672c\u4e2d\u7684io_utils.py\u6587\u4ef6\u7684read_yaml_file\u65b9\u6cd5\u7684YAML\u89e3\u6790\u529f\u80fd\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411\u5df2\u52a0\u8f7d\u7684YAML\u4e2d\u6ce8\u5165Python\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7684Python\u547d\u4ee4\u3002",
  "discovererName": "Joel",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/illagrenan/django-make-app",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-36481",
  "openTime": "2017-12-05",
  "products": {
    "product": "Django_make_app django_make_app 0.1.3"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-16764",
  "serverity": "\u9ad8",
  "submitTime": "2017-11-13",
  "title": "Django-make-app\u4efb\u610f\u547d\u4ee4\u6267\u884c\u6f0f\u6d1e"
}

CVE-2017-16764 (GCVE-0-2017-16764)

Vulnerability from cvelistv5 – Published: 2017-11-10 09:00 – Updated: 2024-08-05 20:35

Summary

An exploitable vulnerability exists in the YAML parsing functionality in the read_yaml_file method in io_utils.py in django_make_app 0.1.3. A YAML parser can execute arbitrary Python commands resulting in command execution. An attacker can insert Python into loaded YAML to trigger this vulnerability.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2325 records in the last 180 days details

References

2 references

URL	Tags
https://github.com/illagrenan/django-make-app/issues/5	x_refsource_MISC
https://joel-malwarebenchmark.github.io/blog/2017…	x_refsource_MISC

Date Public

2017-11-10 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.

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.
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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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