Pandas is a widely used PyPI package. As of 2026-05-24, there are 1 known vulnerabilities in the OSV database. The latest stable version is 3.0.3. Developers should audit their dependency trees and update to patched versions.
Package Overview
Known Vulnerabilities (1)
| ID | Severity | Score | Affected Versions | Fixed In | Description |
|---|---|---|---|---|---|
| CVE-2020-13091 | UNKNOWN | - | 0 to 1.0.4 | 1.0.4 | ** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if __reduce__ makes an os.system call. NOTE: third parties |
Security Recommendations
- Pin Pandas to the latest stable version (3.0.3) in your dependency manifest
- Enable automated dependency updates with Dependabot or Renovate
- Run regular vulnerability scans using
pip-audit - Review your lock file (requirements.txt) after every update
- Monitor the OSV database and NIST NVD for new advisories
FAQ
Is Pandas safe to use?
Pandas is actively maintained and widely used. As of 2026-05-24, there are 1 known vulnerabilities listed in the OSV database. Most have patches available. Keeping your dependencies updated and running regular security audits significantly reduces risk.
What vulnerabilities does Pandas have?
The OSV database currently lists 1 vulnerabilities for Pandas. These range in severity and are detailed in the vulnerability table above. Check the linked advisories for full technical details and remediation guidance.
How do I update Pandas to fix vulnerabilities?
Run pip install --upgrade pandas to get the newest version. Use pip-audit or safety check to scan for known vulnerabilities. Pin your dependencies with a requirements file and review updates regularly.
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