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🐍 PyPI

GHSA-2vpq-fh52-j3wv

HIGH

snowflake-connector-python vulnerable to SQL Injection in write_pandas

Also known asCVE-2025-24793PYSEC-2025-26
Published
Jan 29, 2025
Updated
Feb 4, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.3%probability of exploitation in next 30 days
Lower Risk20th percentile+0.10%
0.00%0.31%0.62%0.94%0.1%0.3%Dec 25Apr 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

1 pkg affected
🐍snowflake-connector-python

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

Issue

Snowflake discovered and remediated a vulnerability in the Snowflake Connector for Python. A function from the snowflake.connector.pandas_tools module is vulnerable to SQL injection.

This vulnerability affects versions 2.2.5 through 3.13.0. Snowflake fixed the issue in version 3.13.1.

Vulnerability Details

A function from the snowflake.connector.pandas_tools module is not sanitizing all of its arguments, and queries using them are not parametrized. An attacker controlling these arguments could achieve SQL injection by passing crafted input. Any SQL executed that way by an attacker would still run in the context of the current session.

Solution

Snowflake released version 3.13.1 of the Snowflake Connector for Python, which fixes this issue. We recommend users upgrade to version 3.13.1.

Additional Information

If you discover a security vulnerability in one of our products or websites, please report the issue to HackerOne. For more information, please see our Vulnerability Disclosure Policy.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIsnowflake-connector-python2.2.5&&< 3.13.13.13.1

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for snowflake-connector-python. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update snowflake-connector-python to 3.13.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-2vpq-fh52-j3wv is resolved across your whole dependency graph.

  3. Workarounds

    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.

  4. How O3 protects you

    O3 pinpoints whether GHSA-2vpq-fh52-j3wv is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-2vpq-fh52-j3wv. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

### Issue Snowflake discovered and remediated a vulnerability in the Snowflake Connector for Python. A function from the snowflake.connector.pandas_tools module is vulnerable to SQL injection. This vulnerability affects versions 2.2.5 through 3.13.0. Snowflake fixed the issue in version 3.13.1. ### Vulnerability Details A function from the snowflake.connector.pandas_tools module is not sanitizing all of its arguments, and queries using them are not parametrized. An attacker controlling these arguments could achieve SQL injection by passing crafted input. Any SQL executed that way by an attac
O3 Security · Impact-Aware SCA

Is GHSA-2vpq-fh52-j3wv in your dependencies?

O3 detects GHSA-2vpq-fh52-j3wv across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.