GHSA-7x45-phmr-9wqp

Suggest an improvement
Source
https://github.com/advisories/GHSA-7x45-phmr-9wqp
Import Source
https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2023/03/GHSA-7x45-phmr-9wqp/GHSA-7x45-phmr-9wqp.json
JSON Data
https://api.test.osv.dev/v1/vulns/GHSA-7x45-phmr-9wqp
Aliases
Published
2023-03-30T20:16:33Z
Modified
2024-10-01T19:35:32.538169Z
Severity
  • 8.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:N CVSS Calculator
  • 6.3 (Medium) CVSS_V4 - 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 CVSS Calculator
Summary
Arbitrary file write in mindsdb when Extracting Tarballs retrieved from a remote location
Details

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.

Database specific
{
    "nvd_published_at": "2023-03-30T19:15:00Z",
    "cwe_ids": [
        "CWE-22"
    ],
    "severity": "MODERATE",
    "github_reviewed": true,
    "github_reviewed_at": "2023-03-30T20:16:33Z"
}
References

Affected packages

PyPI / mindsdb

Package

Affected ranges

Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
22.11.4.3

Affected versions

0.*

0.6.5
0.6.6
0.6.7
0.6.8
0.6.9
0.7.0
0.7.1
0.7.2
0.7.3
0.7.4
0.7.5
0.7.6
0.7.7
0.7.8
0.7.9
0.8.0
0.8.1
0.8.2
0.8.3
0.8.4
0.8.5
0.8.6
0.8.7
0.8.8
0.8.9
0.8.9.1
0.8.9.2
0.8.9.3
0.8.9.4
0.8.9.5
0.8.9.6
0.8.9.7
0.8.9.8
0.9.0.0
0.9.0.1
0.9.1.0
0.9.2.0

1.*

1.0
1.0.1
1.0.2
1.0.3
1.0.4
1.0.5
1.0.6
1.0.7
1.0.8
1.0.9
1.1.0
1.1.2
1.1.3
1.1.7
1.1.9
1.2.0
1.2.1
1.2.2
1.2.3
1.2.4
1.2.5
1.2.6
1.2.8
1.2.9
1.3.1
1.3.2
1.3.3
1.3.4
1.3.5
1.3.6
1.3.7
1.4.0
1.4.1
1.4.2
1.4.3
1.4.4
1.4.5
1.4.6
1.4.7
1.4.9
1.4.10
1.5.0
1.5.1
1.5.2
1.5.4
1.6.0
1.6.3
1.6.4
1.6.5
1.6.6
1.6.7
1.6.8
1.6.12
1.6.13
1.6.15
1.6.17
1.6.18
1.7.0
1.7.1
1.7.2
1.7.3
1.7.5
1.7.6
1.7.7
1.7.8
1.7.9
1.7.10
1.7.11
1.7.12
1.7.13
1.7.14
1.7.15
1.7.16
1.7.17
1.7.18
1.7.19
1.7.20
1.7.21
1.7.22
1.7.23
1.8.0
1.8.2
1.9.0
1.9.1
1.9.2
1.9.3
1.9.5
1.9.6
1.10.0
1.10.2
1.10.3
1.11.0
1.11.2
1.11.3
1.11.4
1.11.5
1.11.8
1.12.0
1.12.1
1.12.2
1.12.3
1.12.4
1.12.5
1.12.7
1.12.8
1.12.9
1.13.0
1.13.2
1.13.3
1.13.4
1.13.5
1.13.6
1.13.7
1.13.8
1.13.9
1.13.10
1.13.11
1.13.12
1.13.15
1.14.0
1.14.1
1.14.2
1.14.3
1.14.4
1.15.1
1.15.2
1.15.6
1.16.0
1.16.1
1.16.2
1.17.0
1.17.1
1.17.2
1.17.3
1.17.4
1.17.6
1.17.8
1.17.9
1.18.0
1.18.1
1.18.2
1.18.3
1.18.5
1.18.6
1.18.7
1.19.0
1.19.1
1.20.0
1.20.1
1.21.0
1.22.0
1.23.0
1.24.0
1.24.1
1.24.2
1.25.0
1.25.1
1.25.2
1.26.0
1.26.1
1.26.2
1.26.3
1.26.4
1.26.5
1.27.0
1.27.1
1.99.0
1.99.1
1.99.3
1.99.4
1.99.5
1.99.6
1.99.7
1.99.8
1.99.9
1.99.10
1.99.11

2.*

2.0.0
2.1.0
2.1.2
2.2.0
2.2.1
2.3.0
2.4.0
2.5.0
2.6.0
2.6.1
2.7.0
2.7.1
2.7.2
2.8.0
2.8.1
2.8.3
2.9.0
2.9.1
2.10.0
2.10.1
2.10.2
2.11.0
2.11.1
2.11.2
2.11.4
2.12.0
2.13.0
2.13.1
2.13.2
2.13.3
2.13.4
2.13.5
2.13.6
2.13.7
2.13.8
2.14.0
2.15.0
2.17.1
2.18.0
2.19.0
2.19.1
2.19.2
2.19.4
2.19.5
2.20.0
2.20.1
2.20.2
2.21.0
2.21.1
2.21.2
2.21.3
2.22.0
2.22.1
2.22.2
2.23.0
2.24.0
2.24.1
2.25.0
2.25.1
2.25.2
2.25.3
2.26.0
2.27.0
2.28.0
2.30.0
2.30.1
2.31.0
2.32.0
2.33.0
2.34.0
2.35.0
2.36.0
2.37.0
2.38.0
2.39.0
2.40.0
2.41.1
2.41.2
2.42.0
2.42.1
2.42.2
2.43.0
2.44.0
2.45.0
2.45.1
2.45.2
2.50.0
2.51.0
2.51.1
2.51.2
2.52.0
2.53.0
2.54.0
2.55.0
2.55.1
2.55.2
2.56.0
2.57.0
2.58.0
2.58.1
2.58.2
2.58.3
2.59.0
2.60.0
2.60.1
2.61.0
2.62.0
2.62.1
2.62.2
2.62.3
2.62.4

22.*

22.1.4.0
22.1.4.1
22.2.1.0
22.2.1.2
22.2.2.0
22.2.2.1
22.2.4.0
22.2.4.1
22.3.1.0
22.3.3.0
22.3.4.0
22.3.4.1
22.3.4.2
22.3.4.3
22.3.5.0
22.4.2.0
22.4.2.1
22.4.2.2
22.4.3.0
22.4.5.0
22.5.1.0
22.5.1.1
22.5.1.2
22.5.2.0
22.5.4.0
22.6.1.0
22.6.1.1
22.6.1.2
22.6.2.0
22.6.2.1
22.6.2.2
22.7.3.0
22.7.3.1
22.7.3.2
22.7.3.3
22.7.3.4
22.7.4.0
22.7.4.1
22.7.5.0
22.7.5.1
22.8.2.0
22.8.2.1
22.8.3.0
22.8.3.1
22.8.4.0
22.8.4.1
22.8.5.0
22.9.3.0
22.9.3.1
22.9.4.0
22.9.5.1
22.9.5.2
22.9.5.3
22.9.5.4
22.10.2.0
22.10.2.1
22.11.3.0
22.11.3.2
22.11.4.0
22.11.4.1
22.11.4.2