Vulnerability-Lookup

CNVD-2020-50503

Vulnerability from cnvd - Published: 2020-09-03

Title

Atlassian JIRA Server和Atlassian JIRA Data Center跨站脚本漏洞

Description

Atlassian JIRA Server和Atlassian JIRA Data Center都是澳大利亚Atlassian公司的产品。Atlassian JIRA Server是一套缺陷跟踪管理系统的服务器版本。该系统主要用于对工作中各类问题、缺陷进行跟踪管理。Atlassian JIRA Data Center是Atlassian JIRA的数据中心版本。 Atlassian JIRA Server和Data Center 8.5.4之前版本、8.6.0及之后版本（8.6.2版本已修复）和8.7.0版本及之后版本（8.7.1版本已修复）中的文件上传功能存在跨站脚本漏洞。远程攻击者可利用该漏洞注入任意HTML或JavaScript代码。

Severity

低

Patch Name

Atlassian JIRA Server和Atlassian JIRA Data Center跨站脚本漏洞的补丁

Patch Description

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://jira.atlassian.com/browse/JRASERVER-70814

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-14173

Impacted products

Name
['Atlassian JIRA Server <8.5.4', 'Atlassian Jira Data Center <8.5.4', 'Atlassian JIRA Server >=8.6.0，<8.6.2', 'Atlassian Jira Data Center >=8.6.0，<8.6.2', 'Atlassian JIRA Server >=8.7.0，<8.7.1', 'Atlassian Jira Data Center >=8.7.0，<8.7.1']

Show details on source website

JSON

To clipboard

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CVE-2020-14173 (GCVE-0-2020-14173)

Vulnerability from cvelistv5 – Published: 2020-07-03 01:50 – Updated: 2024-09-16 21:56

Summary

The file upload feature in Atlassian Jira Server and Data Center in affected versions allows remote attackers to inject arbitrary HTML or JavaScript via a cross site scripting (XSS) vulnerability. The affected versions are before version 8.5.4, from version 8.6.0 before 8.6.2, and from version 8.7.0 before 8.7.1.

Severity

No CVSS data available.

CWE

Stored Cross-Site Scripting

Assigner

atlassian CNA under the mitre root

CNA scorecard C 61/100 over 10 records in the last 180 days details

References

1 reference

URL	Tags
https://jira.atlassian.com/browse/JRASERVER-70814	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Atlassian	Jira Server	Affected: unspecified , < 8.5.4 (custom) Affected: 8.6.0 , < unspecified (custom) Affected: unspecified , < 8.6.2 (custom) Affected: 8.7.0 , < unspecified (custom) Affected: unspecified , < 8.7.1 (custom)

Date Public

2020-03-24 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

Sightings and recorded dates, grouped by day · UTC

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

Loading timeline…

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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