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Arbitrary file write in mindsdb when Extracting Tarballs retrieved from a remote location

Moderate severity GitHub Reviewed Published Mar 30, 2023 in mindsdb/mindsdb • Updated Oct 1, 2024

Package

pip mindsdb (pip)

Affected versions

< 22.11.4.3

Patched versions

22.11.4.3

Description

Summary

An unsafe extraction is being performed using shutil.unpack_archive() from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. This vulnerability is sometimes called a TarSlip or a ZipSlip variant.

Details

Unpacking files using the high-level function shutil.unpack_archive() from a potentially malicious tarball without validating that the destination file path remained within the intended destination directory may cause files to be overwritten outside the destination directory.

As can be seen in the vulnerable snippet code source, an archive is being retrieved using the download_file() function from a remote location which is a user-provided permanent storage bucket s3. Immediately after being retrieved, the tarball is unsafely unpacked using the function shutil.unpack_archive().

The vulnerable code is L128..L129 in fs.py file.

    def __init__(self):
        super().__init__()
        if 's3_credentials' in self.config['permanent_storage']:
            self.s3 = boto3.client('s3', **self.config['permanent_storage']['s3_credentials'])
        else:
            self.s3 = boto3.client('s3')
       
        # User provided remote storage!
        self.bucket = self.config['permanent_storage']['bucket'] 

    def get(self, local_name, base_dir):
        remote_name = local_name
        remote_ziped_name = f'{remote_name}.tar.gz'
        local_ziped_name = f'{local_name}.tar.gz'
        local_ziped_path = os.path.join(base_dir, local_ziped_name)
        os.makedirs(base_dir, exist_ok=True)
        
        # Retrieve a potentially malicious tarball
        self.s3.download_file(self.bucket, remote_ziped_name, local_ziped_path)

        # Perform an unsafe extraction
        shutil.unpack_archive(local_ziped_path, base_dir)

        os.system(f'chmod -R 777 {base_dir}')
        os.remove(local_ziped_path)

PoC

The following PoC is provided for illustration purposes only. It showcases the risk of extracting a non-harmless text file sim4n6.txt to one of the parent locations rather than the intended current folder.

> tar --list -f archive.tar
tar: Removing leading "../../../" from member names
../../../sim4n6.txt

> python3 
Python 3.10.6 (main, Nov  2 2022, 18:53:38) [GCC 11.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> import shutil
>>> shutil.unpack_archive("archive.tar")
>>> exit()

> test -f ../../../sim4n6.txt && echo "sim4n6.txt exists"
sim4n6.txt exists

Attack Scenario

An attacker could craft a malicious tarball with a filename path, such as ../../../../../../../../etc/passwd, and then serve the archive remotely using a personal bucket s3, thus, retrieve the tarball through mindsdb and overwrite the system files of the hosting server.

Mitigation

Potential mitigation could be to:

  • Use a safer module, like zipfile.
  • Validate the location of the extracted files and discard those with malicious paths such as relative path .. or absolute path such as /etc/password.
  • Perform a checksum verification for the retrieved archive, but hard-coding the hashes may be cumbersome and difficult to manage.

References

@ZoranPandovski ZoranPandovski published to mindsdb/mindsdb Mar 30, 2023
Published by the National Vulnerability Database Mar 30, 2023
Published to the GitHub Advisory Database Mar 30, 2023
Reviewed Mar 30, 2023
Last updated Oct 1, 2024

Severity

Moderate

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 None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality High
Integrity Low
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:N/VI:N/VA:N/SC:H/SI:L/SA:N

EPSS score

0.083%
(37th percentile)

Weaknesses

CVE ID

CVE-2022-23522

GHSA ID

GHSA-7x45-phmr-9wqp

Source code

Credits

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