CVE-2021-32690
Helm Domain Cred Pass Cross-Site Scraping
Description
Helm is a tool for managing Charts (packages of pre-configured Kubernetes resources). In versions of helm prior to 3.6.1, a vulnerability exists where the username and password credentials associated with a Helm repository could be passed on to another domain referenced by that Helm repository. This issue has been resolved in 3.6.1. There is a workaround through which one may check for improperly passed credentials. One may use a username and password for a Helm repository and may audit the Helm repository in order to check for another domain being used that could have received the credentials. In the `index.yaml` file for that repository, one may look for another domain in the `urls` list for the chart versions. If there is another domain found and that chart version was pulled or installed, the credentials would be passed on.
INFO
Published Date :
June 16, 2021, 10:15 p.m.
Last Modified :
Oct. 25, 2022, 3:16 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
4.0
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2021-32690 has a 1 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-2021-32690.
| URL | Resource |
|---|---|
| https://github.com/helm/helm/releases/tag/v3.6.1 | Third Party Advisory |
| https://github.com/helm/helm/security/advisories/GHSA-56hp-xqp3-w2jf | Third Party 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).
This is a list of artifacts from the GitHub Advisory Database where the corresponding JSON files are missing CVE identifiers, despite the fact that these artifacts are listed in the NVD (National Vulnerability Database). I cross-referenced the data, retrieved the missing CVEs, and compiled everything into a list.
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2021-32690 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2021-32690 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 -
Reanalysis by [email protected]
Oct. 25, 2022
Action Type Old Value New Value Added CWE NIST NVD-CWE-Other -
Initial Analysis by [email protected]
Jun. 25, 2021
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:C/C:H/I:N/A:N Changed Reference Type https://github.com/helm/helm/releases/tag/v3.6.1 No Types Assigned https://github.com/helm/helm/releases/tag/v3.6.1 Third Party Advisory Changed Reference Type https://github.com/helm/helm/security/advisories/GHSA-56hp-xqp3-w2jf No Types Assigned https://github.com/helm/helm/security/advisories/GHSA-56hp-xqp3-w2jf Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:helm:helm:*:*:*:*:*:*:*:* versions up to (excluding) 3.6.1
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2021-32690 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-2021-32690
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.15 }} 0.01%
score
0.49988
percentile