CVE-2024-49750
Nov. 6, 2024, 2:58 p.m.
5.5
Medium
Description
The Snowflake Connector for Python provides an interface for developing Python applications that can connect to Snowflake and perform all standard operations. Prior to version 3.12.3, when the logging level was set by the user to DEBUG, the Connector could have logged Duo passcodes (when specified via the `passcode` parameter) and Azure SAS tokens. Additionally, the SecretDetector logging formatter, if enabled, contained bugs which caused it to not fully redact JWT tokens and certain private key formats. Snowflake released version 3.12.3 of the Snowflake Connector for Python, which fixes the issue. In addition to upgrading, users should review their logs for any potentially sensitive information that may have been captured.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Snowflake |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-532
Insertion of Sensitive Information into Log File
Information written to log files can be of a sensitive nature and give valuable guidance to an attacker or expose sensitive user information.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | snowflake | snowflake_connector | / | / | / | / | / | python | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: LOCAL
- Attack Complexity: LOW
- Privileges Required: LOW
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: NONE
- Availability Impact: NONE
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Timeline
Published: Oct. 24, 2024, 10:15 p.m.
Last Modified: Nov. 6, 2024, 2:58 p.m.
Last Modified: Nov. 6, 2024, 2:58 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.