Vulnerabilities > CVE-2024-49750 - Information Exposure Through Log Files vulnerability in Snowflake Connector
Summary
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.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Fuzzing and observing application log data/errors for application mapping An attacker sends random, malformed, or otherwise unexpected messages to a target application and observes the application's log or error messages returned. Fuzzing techniques involve sending random or malformed messages to a target and monitoring the target's response. The attacker does not initially know how a target will respond to individual messages but by attempting a large number of message variants they may find a variant that trigger's desired behavior. In this attack, the purpose of the fuzzing is to observe the application's log and error messages, although fuzzing a target can also sometimes cause the target to enter an unstable state, causing a crash. By observing logs and error messages, the attacker can learn details about the configuration of the target application and might be able to cause the target to disclose sensitive information.