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Craft CMS Arbitrary System File Read

High severity GitHub Reviewed Published Nov 13, 2024 in craftcms/cms • Updated Nov 13, 2024

Package

composer craftcms/cms (Composer)

Affected versions

>= 5.0.0-alpha.1, <= 5.4.7.1
>= 3.5.13, <= 4.12.6.1

Patched versions

5.4.9
4.12.8

Description

Summary

By abusing the mail notification template it is possible to read arbitrary operating system files.

Details

The dataUrl function can be exploited if an attacker has write permissions on system notification templates. This function accepts an absolute file path, reads the file's content, and converts it into a Base64-encoded string. By embedding this function within a system notification template, the attacker can exfiltrate the Base64-encoded file content through a triggered system email notification. Once the email is received, the Base64 payload can be decoded, allowing the attacker to read arbitrary files on the server.

Requirements:

  • write permissions to system notification templates
  • ability to trigger a corresponding system email

PoC

  1. Modify a template to contain the following twig template string:
{{ dataUrl('/var/www/web/.env') }}
  1. Trigger the corresponding notification email (e.g. by resetting a password)
  2. Receive the email and decode the base64 string

Mail received:
Bildschirmfoto 2024-09-05 um 16 20 41

Decoded string:
Bildschirmfoto 2024-09-05 um 16 28 24

Impact

  1. Exposure of Sensitive Information: Arbitrary file read can lead to the exposure of sensitive data such as configuration files (e.g., /etc/passwd, .env, config.php), which may contain credentials, API keys, or database passwords. This can provide the attacker with further access to the system or connected services.

  2. Privilege Escalation: If the attacker is able to read files that contain privileged information, such as credentials for other systems or applications, they may be able to escalate their privileges beyond what the web admin role originally allowed, potentially gaining full control over the server or other related systems.

  3. Server Compromise: Access to files like SSH keys, private certificates, or system configuration files can lead to the complete compromise of the underlying server. With this information, an attacker could remotely log in to the server or impersonate it in secure communications.

  4. Exfiltration of User Data: The ability to read arbitrary files may allow an attacker to access user data, such as stored passwords, session tokens, or private information (like uploaded files or logs), leading to a breach of confidentiality and violating privacy regulations (e.g., GDPR).

References

@angrybrad angrybrad published to craftcms/cms Nov 13, 2024
Published to the GitHub Advisory Database Nov 13, 2024
Reviewed Nov 13, 2024
Published by the National Vulnerability Database Nov 13, 2024
Last updated Nov 13, 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 Network
Attack Complexity Low
Attack Requirements None
Privileges Required Low
User interaction None
Vulnerable System Impact Metrics
Confidentiality High
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality High
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:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:H/SI:N/SA:N/E:P

EPSS score

0.044%
(12th percentile)

CVE ID

CVE-2024-52292

GHSA ID

GHSA-cw6g-qmjq-6w2w

Source code

Credits

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