Vulnerability-Lookup

CNVD-2020-01311

Vulnerability from cnvd - Published: 2020-01-10

Title

JetBrains Ktor framework注入漏洞

Description

JetBrains Ktor framework是捷克JetBrains公司的一款Web应用程序框架。 JetBrains Ktor framework 1.2.6之前版本中存在注入漏洞。该漏洞源于用户输入构造命令、数据结构或记录的操作过程中，网络系统或产品缺乏对用户输入数据的正确验证，未过滤或未正确过滤掉其中的特殊元素，导致系统或产品产生解析或解释方式错误。目前没有详细的漏洞细节提供。

Severity

低

Formal description

目前厂商已发布升级补丁以修复漏洞，详情请关注厂商主页： https://www.jetbrains.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-19389

Impacted products

Name
JetBrains Ktor framework <1.2.6

Show details on source website

JSON

To clipboard

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      "cveNumber": "CVE-2019-19389"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-01311",
  "openTime": "2020-01-10",
  "products": {
    "product": "JetBrains Ktor framework \u003c1.2.6"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-19389",
  "serverity": "\u4f4e",
  "submitTime": "2019-12-27",
  "title": "JetBrains Ktor framework\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2019-19389 (GCVE-0-2019-19389)

Vulnerability from cvelistv5 – Published: 2019-12-26 20:15 – Updated: 2024-08-05 02:16

Summary

JetBrains Ktor framework before version 1.2.6 was vulnerable to HTTP Response Splitting.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/ktorio/ktor/pull/1408	x_refsource_MISC
https://gist.github.com/JLLeitschuh/6792947ed57d5…	x_refsource_MISC
https://twitter.com/JLLeitschuh/status/1210256191…	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.

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.