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Not in CISA KEV
LOW severity

CVE-2023-49297 — pydrive2

LOWFix: iterative/PyDrive2@c57355d

CVE-2023-49297 is a low-severity (CVSS 3.3) Deserialization of Untrusted Data vulnerability in pydrive2. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. A fix is available for pydrive2 — see the affected versions and patch details below.

Unsafe YAML deserialization in PyDrive2

Also known asGHSA-v5f6-hjmf-9mc5PYSEC-2023-291
Published
Updated
Affected
2 pkgs
Patched
1 / 2
Exploits
1 known
Exploitation data as of Nov 6, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

EPSS Exploitation Probability

via FIRST.org ↗
0.5%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs44th percentile — riskier than 44% of all scored CVEsHighest risk
0.00%0.34%0.67%1.01%0.1%0.5%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

2 pkgs affected
🐍pydrive2🐍pydrive2

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Summary

Unsafe YAML deserilization will result in arbitrary code execution. A maliciously crafted YAML file can cause arbitrary code execution if PyDrive2 is run in the same directory as it, or if it is loaded in via LoadSettingsFile.

Details

The loader being imported from the yaml library is CLoader: https://github.com/iterative/PyDrive2/blob/30c0f487c0666c0d1944ef774107359f39adc2fa/pydrive2/settings.py#L5

This loader is then used to load a user supplied file: https://github.com/iterative/PyDrive2/blob/30c0f487c0666c0d1944ef774107359f39adc2fa/pydrive2/settings.py#L108-L121

CLoader is considered unsafe. It will allow any Python code inside of it to be executed. This loading behaviour also happens automatically, the file only needs to be present for this vulnerability to occur.

https://github.com/iterative/PyDrive2/blob/30c0f487c0666c0d1944ef774107359f39adc2fa/pydrive2/settings.py#L9

Reference: https://www.exploit-db.com/docs/english/47655-yaml-deserialization-attack-in-python.pdf

PoC

  1. Create a malicious settings.yaml file:
!!python/object/new:os.system [echo poc]
  1. Initialize a GoogleAuth object .
from pydrive2.auth import GoogleAuth

gauth = GoogleAuth()
  1. Execute the code with the settings file present in your directory. The code inside the file will be executed:
[evan@ejedev PyDrive2]$ ls
CHANGES  client_secrets.json  CONTRIBUTING.rst  docs  examples  LICENSE  main.py  MANIFEST.in  pydrive2  pyproject.toml  pytest.ini  README.rst  settings.yaml  setup.py  tox.ini
[evan@ejedev PyDrive2]$ cat settings.yaml
!!python/object/new:os.system [echo poc]
[evan@ejedev PyDrive2]$ cat main.py 
from pydrive2.auth import GoogleAuth


gauth = GoogleAuth()
[evan@ejedev PyDrive2]$ python3 main.py 
poc

Alternatively, the file can be loaded in directly via pydrive2.settings.LoadSettingsFile

Impact

This is a deserilization attack that will affect any user who initializes GoogleAuth from this package while a malicious yaml file is present in the same directory. As it does not require it to be directly loaded through the code, only present, I believe this produces an extra element of risk.

Affected Packages

2 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIpydrive2all versionsNo fix
🐍PyPIpydrive2all versions1.16.2pip install --upgrade 'pydrive2==1.16.2'

Affected Products

1 product · 2 configurations
Application
pydrive2iterative
< 1.16.2
1 version
1.17.0
Exploits & PoCs
1

Research use only. For defensive security, authorized penetration testing, and academic research only. Never execute exploit code against systems without explicit written authorization.

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for pydrive2, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    A fix is available for CVE-2023-49297; check the affected-versions list above or the advisory for the patched release of pydrive2, then make sure no transitive dependency still pins the vulnerable range.

  3. Workarounds

    Do not deserialise data from untrusted sources: where the format allows it, restrict deserialisation to an explicit allowlist of expected types, and prefer a data-only format (JSON, Protobuf) over one that can reconstruct arbitrary objects until you can upgrade.

Frequently Asked Questions

### Summary Unsafe YAML deserilization will result in arbitrary code execution. A maliciously crafted YAML file can cause arbitrary code execution if PyDrive2 is run in the same directory as it, or if it is loaded in via `LoadSettingsFile`. ### Details The loader being imported from the `yaml` library is `CLoader`: https://github.com/iterative/PyDrive2/blob/30c0f487c0666c0d1944ef774107359f39adc2fa/pydrive2/settings.py#L5 This loader is then used to load a user supplied file: https://github.com/iterative/PyDrive2/blob/30c0f487c0666c0d1944ef774107359f39adc2fa/pydrive2/settings.py#L108-L121 CL
O3 Security · Impact-Aware SCA

Is CVE-2023-49297 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2023-49297: pydrive2 RCE — Fixed in 1.16.2