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CRITICAL severity

CVE-2023-39661 — pandasai

CRITICAL

CVE-2023-39661 is a critical-severity (CVSS 9.8) CWE-74 vulnerability in pandasai. 1 public exploit or proof-of-concept reference is indexed, so weaponization risk is real. The records list no fixed version yet; check the vendor advisory below and apply the mitigations in the meantime.

PandasAI vulnerable to arbitrary code execution

Also known asPYSEC-2026-447
Published
Updated
Affected
1 pkg
Patched
See advisory
Exploits
1 known
Exploitation data as of Nov 2, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

Proof-of-concept exploit code exists

  • CISA’s SSVC triage found public proof-of-concept exploit code for this CVE, though no confirmed active exploitation.
  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • A successful exploit gives an attacker total control of the affected component, not partial access.

Exploitation and automatability from CISA’s SSVC triage for CVE-2023-39661.

EPSS Exploitation Probability

via FIRST.org ↗
1.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs73th percentile — riskier than 73% of all scored CVEsHighest risk
0.67%1.22%1.76%2.31%1.4%1.4%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

1 pkg affected
🐍pandasai

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

An issue in pandas-ai v.0.8.1 and before allows a remote attacker to execute arbitrary code via the _is_jailbreak function.

Affected Packages

1 total
EcosystemPackageVulnerable rangeFix
🐍PyPIpandasaiall versionsNo fix

Affected Products

1 product · 1 configurations
Application
pandasaigabrieleventuri
≤ 0.9.1
range
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 pandasai, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Remediation status

    The records we use list no patched version of pandasai for CVE-2023-39661. Check the maintainer's advisory, and where your build allows, override or pin the dependency away from the vulnerable range.

  3. Mitigate without a patch

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

An issue in pandas-ai v.0.8.1 and before allows a remote attacker to execute arbitrary code via the `_is_jailbreak` function.
O3 Security · Impact-Aware SCA

Is CVE-2023-39661 in your dependencies?

Find it across PyPI, including transitive dependencies.

CVE-2023-39661: pandasai RCE (Critical 9.8)