vulnerability / NVI-00013266 / Revision 2
Snowflake drivers writes sensitive information to logs
GitHub lists this reviewed advisory for snowflake-sdk, snowflake-connector-python, github.com/snowflakedb/gosnowflake, net.snowflake:snowflake-jdbc, net.snowflake:snowflake-jdbc-thin. Published version ranges and source prerequisites are shown below; this is not an inspection of a visitor’s application.
This report has not inspected your inventory, configuration, deployed build, reachability or evidence. A catalog listing and a severity score do not establish exposure or compromise.
01 / Meaning
Why it matters
Published affected context helps an owner decide what evidence to gather. This report has not examined your application.
6.5 medium
GitHub source severity; exploitability and local consequence require separate evidence.
As of · GitHub Advisory Database
0.089%
FIRST EPSS model v2026.06.15; exploitation probability over 30 days, percentile 0.00389. Missing scores are unknown.
As of · FIRST EPSS
02 / Applicability
The affected context
Affected versions, configuration prerequisites and known exclusions are public. Confirm each one against the deployed service.
snowflake-sdk
source listed< 3.3.0
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
snowflake-connector-python
source listed< 4.7.3
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
github.com/snowflakedb/gosnowflake
source listed<= 1.19.1
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
net.snowflake:snowflake-jdbc
source listed< 4.3.4
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
net.snowflake:snowflake-jdbc-thin
source listed< 4.3.4
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
net.snowflake:snowflake-jdbc-fips
source listed< 4.3.4
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
github.com/snowflakedb/gosnowflake/v2
source listed< 2.2.0
Insertion of sensitive information into log files in the Snowflake Python, Go, JDBC, Node.js, PHP PDO, and ODBC drivers allowed authentication tokens, query-result encryption keys, pre-signed cloud-storage URLs, and SAML assertions to be written to diagnostic logs in circumstances where the available log redaction did not cover all affected log paths and data types. An attacker with read access to the log destination, whether the local filesystem, a log aggregation service, or a CI/CD artifact store, could obtain credentials and decryption keys that, if still valid at the time of access, could be used to authenticate to the corresponding Snowflake account or cloud-storage object. Successful exploitation requires read access to the log destination, and impact is bounded by credential lifetime and object scope. The fix is available in Snowflake Connector for Python v4.7.3, Snowflake Go Driver v2.2.0, Snowflake JDBC Driver v4.3.4 (including the snowflake-jdbc-fips and snowflake-jdbc-thin), Snowflake Node.js Driver v3.3.0, Snowflake PHP PDO Driver v4.2.0, and Snowflake ODBC Driver v3.20.0. Users must manually upgrade and should securely delete previously generated diagnostic logs conta
03 / Response
What to do next
- investigate
Identify the exact component and deployed version, examine the linked publisher’s conditions, and retain evidence of any mitigation.
Confirm current vendor support, compatibility and deployment evidence. This report has not tested a fix in your system. FIRST EPSS
A fixed release is not deployment evidence.
Check current vendor support and compatibility. After making a change, verify the deployed build and relevant runtime conditions. Keep the evidence, owner and time. An updated lockfile alone does not prove what is running.
04 / Limits
What this report cannot establish
- Customer inventory, deployment, reachability and exploitation have not been inspected.
05 / Provenance
Sources you can inspect
Each assertion retains its source. Mirrored records may repeat one underlying publisher; additional links are not independent corroboration.
- GHSA-qqj6-54q6-cxv6 ↗
GitHub Advisory Database · vendor advisory
Observed . GitHub Advisory Database; CC-BY-4.0. Each advisory links its original attribution. Null normalizes fields.
- CVE-2026-86597 ↗
FIRST EPSS · official catalog
Observed . FIRST EPSS; probability of exploitation in the next 30 days, not local compromise. Dataset date/model retained; FIRST services terms apply.
Public revision history
Only published revisions appear here. Routine fetches do not create a material-change event.
- Revision 2 ·
Dated EPSS estimate updated; this is not a new disclosure or proof of exploitation.
- Revision 1 ·
First indexed by Null; source disclosure date is shown separately.