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CVE Vulnerability Database
Vulnerability Database/CVE-2026-16870

CVE-2026-16870: Snowflake libsnowflakeclient RCE Flaw

CVE-2026-16870 is a remote code execution vulnerability in Snowflake libsnowflakeclient that enables buffer overflow attacks and credential theft. This article covers the technical details, affected versions, and mitigation steps.

Published:

CVE-2026-16870 Overview

CVE-2026-16870 covers multiple vulnerabilities in Snowflake libsnowflakeclient versions prior to 2.9.2. The flaws include a stack-based buffer overflow [CWE-121], an out-of-bounds write, and improper validation of connection parameters. An attacker who can write to a shared internal stage can trigger remote code execution on a victim host that downloads a crafted file. A separate parameter-injection flaw allows redirection of outbound authentication requests, including credentials and tokens, to an attacker-controlled endpoint. The Snowflake PHP PDO Driver and Snowflake ODBC Driver embed the affected library and require manual upgrades.

Critical Impact

Attackers with write access to a shared internal stage can achieve remote code execution on downloading hosts or exfiltrate service credentials by manipulating connection parameters.

Affected Products

  • Snowflake libsnowflakeclient versions prior to 2.9.2
  • Snowflake PHP PDO Driver versions prior to 4.1.0
  • Snowflake ODBC Driver versions prior to 3.19.0

Discovery Timeline

  • 2026-07-24 - CVE-2026-16870 published to NVD
  • 2026-07-30 - Last updated in NVD database

Technical Details for CVE-2026-16870

Vulnerability Analysis

CVE-2026-16870 aggregates three distinct defects in the Snowflake client library. The first is a stack-based buffer overflow in the file download path. When the client processes encryption metadata from a file staged for download, an oversized or malformed field overwrites adjacent stack memory. This condition enables remote code execution on the downloading host.

The second defect is an out-of-bounds write in the same download path. A crafted initialization vector (IV) metadata field produces an attacker-controlled write primitive during decryption setup. This primitive supports memory corruption suitable for control-flow hijacking.

The third defect involves improper validation of connection parameters. An attacker who can influence the connection configuration passed to the client can redirect authentication traffic to an arbitrary endpoint. Credentials and OAuth tokens intended for legitimate Snowflake endpoints are then sent to the attacker.

Root Cause

The buffer overflow and out-of-bounds write stem from missing bounds checks on encryption metadata fields read from files retrieved from internal stages. The client trusts stage-provided metadata rather than validating length and structure before parsing. The connection-parameter issue stems from insufficient allow-listing of host and endpoint values in the connection string.

Attack Vector

Exploitation of the memory corruption flaws requires an attacker principal with write access to a shared internal stage that a higher-privileged principal later reads. The attacker uploads a file with a crafted encryption metadata field or a malicious IV. When the victim process downloads the file, parsing triggers the overflow or the out-of-bounds write.

Exploitation of the credential-redirection flaw requires an embedding deployment where a lower-privileged principal supplies connection parameters while higher-privileged service credentials are in use. The attacker crafts parameters that steer authentication to an attacker-controlled host. No verified public exploit code is available at publication time. The vulnerability mechanism is documented in the Snowflake libsnowflakeclient v2.9.2 release notes.

Detection Methods for CVE-2026-16870

Indicators of Compromise

  • Unexpected process crashes or memory corruption signatures in processes linking libsnowflakeclient, PHP PDO Snowflake, or the Snowflake ODBC Driver.
  • Outbound authentication traffic from Snowflake client processes to hostnames outside the tenant's *.snowflakecomputing.com domain.
  • File uploads to shared internal stages by principals that do not normally write to those stages.

Detection Strategies

  • Inventory all applications and drivers that embed libsnowflakeclient, including PHP PDO Snowflake below 4.1.0 and Snowflake ODBC below 3.19.0.
  • Alert on Snowflake client processes initiating TLS connections to non-Snowflake destinations.
  • Monitor stage-write audit events for anomalous PUT operations preceding GET operations by privileged service accounts.

Monitoring Recommendations

  • Enable Snowflake query and stage-access logging, then forward events to a centralized analytics platform for correlation.
  • Track connection-string sources in embedding applications and alert on runtime modification by lower-privileged callers.
  • Baseline egress destinations from hosts running Snowflake drivers and flag deviations.

How to Mitigate CVE-2026-16870

Immediate Actions Required

  • Upgrade libsnowflakeclient to version 2.9.2 or later on all hosts.
  • Upgrade the Snowflake PHP PDO Driver to version 4.1.0 or later.
  • Upgrade the Snowflake ODBC Driver to version 3.19.0 or later.
  • Audit shared internal stage permissions and remove write access for principals that do not require it.

Patch Information

The fix is available in Snowflake libsnowflakeclient version 2.9.2. Embedding drivers require separate manual upgrades: PHP PDO Snowflake 4.1.0 and Snowflake ODBC Driver 3.19.0. Details are published in the GitHub Release v2.9.2 notes. No automatic upgrade path is provided by Snowflake for embedded deployments.

Workarounds

  • Segregate internal stages so that principals with different privilege levels do not share write and read access to the same stage.
  • Restrict connection-parameter inputs in embedding applications to a fixed allow-list of Snowflake account endpoints.
  • Rotate any service credentials or OAuth tokens that may have been used with an unpatched client in a multi-tenant embedding context.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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