CVE-2020-13937
Apache Kylin Unauthenticated Configuration Information Disclosure Vulnerability
Description
Apache Kylin 2.0.0, 2.1.0, 2.2.0, 2.3.0, 2.3.1, 2.3.2, 2.4.0, 2.4.1, 2.5.0, 2.5.1, 2.5.2, 2.6.0, 2.6.1, 2.6.2, 2.6.3, 2.6.4, 2.6.5, 2.6.6, 3.0.0-alpha, 3.0.0-alpha2, 3.0.0-beta, 3.0.0, 3.0.1, 3.0.2, 3.1.0, 4.0.0-alpha has one restful api which exposed Kylin's configuration information without any authentication, so it is dangerous because some confidential information entries will be disclosed to everyone.
INFO
Published Date :
Oct. 19, 2020, 9:15 p.m.
Last Modified :
Oct. 29, 2020, 10:25 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2020-13937 has a 31 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2020-13937.
| URL | Resource |
|---|---|
| https://lists.apache.org/thread.html/rc592e0dcee5a2615f1d9522af30ef1822c1f863d5e05e7da9d1e57f4%40%3Cuser.kylin.apache.org%3E | Mailing List Release Notes Vendor Advisory |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
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Tiger是一款在攻防演练中对目标资产重点系统指纹识别、精准漏扫的工具。是一款打点神器。
APIT is a CLI tool designed for API black-box vulnerability fuzzing. It captures API traffic via browser proxy and conducts deep recognition and mutation of API parameters in a tree structure. Additionally, APIV incorporates various optimization strategies to enhance the precision and efficiency of API vulnerability testing.
APIF is a CLI tool designed for API black-box vulnerability testing. It captures API traffic via browser proxy and conducts deep recognition and mutation of API parameters in a tree structure. Additionally, APIV incorporates various optimization strategies to enhance the precision and efficiency of API vulnerability testing.
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None
CSS HTML JavaScript
APIV is a CLI tool designed for API black-box vulnerability testing. It captures API traffic via browser proxy and conducts deep recognition and mutation of API parameters in a tree structure. Additionally, APIV incorporates various optimization strategies to enhance the precision and efficiency of API vulnerability testing.
Rapier is a CLI tool designed for API black-box vulnerability testing. It captures API traffic via browser proxy and conducts deep recognition and mutation of API parameters in a tree structure. Additionally, Rapier incorporates various optimization strategies to enhance the precision and efficiency of API vulnerability testing.
poc集合(持续更新ing)
在公网收集的gobypoc+部分自己加的poc
A Common Vulnerability PoC Knowledge Base一个普遍漏洞POC知识库
vulnerability
继承大量poc检查 包含oa 如 泛微 通达 致远 万户 等。
Python
List of awesome starred repositories
Python
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Python
scalpel是一款命令行漏洞扫描工具，支持深度参数注入，拥有一个强大的数据解析和变异算法，可以将常见的数据格式（json, xml, form等）解析为树结构，然后根据poc中的规则，对树进行变异，包括对叶子节点和树结构 的变异。变异完成之后，将树结构还原为原始的数据格式。
cve exploits poc vulnerabilities vulnerability fuzzing scanner
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-13937 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-13937 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Oct. 29, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:N/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N Changed Reference Type https://lists.apache.org/thread.html/rc592e0dcee5a2615f1d9522af30ef1822c1f863d5e05e7da9d1e57f4%40%3Cuser.kylin.apache.org%3E No Types Assigned https://lists.apache.org/thread.html/rc592e0dcee5a2615f1d9522af30ef1822c1f863d5e05e7da9d1e57f4%40%3Cuser.kylin.apache.org%3E Mailing List, Release Notes, Vendor Advisory Added CWE NIST CWE-922 Added CPE Configuration OR *cpe:2.3:a:apache:kylin:2.0.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.1.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.2.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.3.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.3.1:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.3.2:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.4.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.4.1:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.5.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.5.1:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.5.2:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.1:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.2:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.3:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.4:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.5:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:2.6.6:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.0:-:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.0:alpha:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.0:alpha2:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.0:beta:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.1:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.0.2:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:3.1.0:*:*:*:*:*:*:* *cpe:2.3:a:apache:kylin:4.0.0:alpha:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-13937 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2020-13937
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
97.43 }} 0.06%
score
0.99959
percentile