snowflakedb snowflake-connector-nodejs up to 2.0.3 on Linux/macOS Easy Logging toctou

CVSS Meta Temp Score
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CTI Interest Score
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4.5$0-$5k0.00

Summaryinfo

A vulnerability was found in snowflakedb snowflake-connector-nodejs up to 2.0.3 on Linux/macOS. It has been classified as problematic. This affects an unknown part of the component Easy Logging. This manipulation causes toctou. This vulnerability is handled as CVE-2025-46328. It is possible to launch the attack on the local host. There is not any exploit available. Upgrading the affected component is recommended.

Detailsinfo

A vulnerability classified as problematic was found in snowflakedb snowflake-connector-nodejs up to 2.0.3 on Linux/macOS. Affected by this vulnerability is an unknown code block of the component Easy Logging. The manipulation with an unknown input leads to a toctou vulnerability. The CWE definition for the vulnerability is CWE-367. The product checks the state of a resource before using that resource, but the resource's state can change between the check and the use in a way that invalidates the results of the check. This can cause the product to perform invalid actions when the resource is in an unexpected state. As an impact it is known to affect confidentiality. The summary by CVE is:

snowflake-connector-nodejs is a NodeJS driver for Snowflake. Versions starting from 1.10.0 to before 2.0.4, are vulnerable to a Time-of-Check to Time-of-Use (TOCTOU) race condition. When using the Easy Logging feature on Linux and macOS the Driver reads logging configuration from a user-provided file. On Linux and macOS the Driver verifies that the configuration file can be written to only by its owner. That check was vulnerable to a TOCTOU race condition and failed to verify that the file owner matches the user running the Driver. This could allow a local attacker with write access to the configuration file or the directory containing it to overwrite the configuration and gain control over logging level and output location. This issue has been patched in version 2.0.4.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2025-46328 since 04/23/2025. The exploitation appears to be easy. Attacking locally is a requirement. The technical details are unknown and an exploit is not publicly available.

Upgrading to version 2.0.4 eliminates this vulnerability. Applying the patch e94c24112271e1f44c271634bf29a3188acc68d0 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.5
VulDB Meta Temp Score: 4.5

VulDB Base Score: 3.3
VulDB Temp Score: 3.2
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 7.0
NVD Vector: 🔍

CNA Base Score: 3.3
CNA Vector (GitHub_M): 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Toctou
CWE: CWE-367 / CWE-362
CAPEC: 🔍
ATT&CK: 🔍

Physical: Partially
Local: Yes
Remote: No

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: snowflake-connector-nodejs 2.0.4
Patch: e94c24112271e1f44c271634bf29a3188acc68d0

Timelineinfo

04/23/2025 🔍
04/29/2025 +6 days 🔍
04/29/2025 +0 days 🔍
05/10/2025 +11 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-wmjq-jrm2-9wfr
Status: Confirmed

CVE: CVE-2025-46328 (🔍)
GCVE (CVE): GCVE-0-2025-46328
GCVE (VulDB): GCVE-100-306451

Entryinfo

Created: 04/29/2025 06:33
Updated: 05/10/2025 08:41
Changes: 04/29/2025 06:33 (67), 04/29/2025 12:29 (1), 05/10/2025 08:41 (11)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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