Snowflake SQLAlchemy up to 1.10.x Merge Operations sql injection

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
7.0$0-$5k9.85+

Summaryinfo

A vulnerability classified as critical has been found in Snowflake SQLAlchemy up to 1.10.x. The affected element is an unknown function of the component Merge Operations/Query-Building API/Connection Configuration. This manipulation of the argument column identifiers/crafted string/connection configuration parameters/request field names causes sql injection. This vulnerability is tracked as CVE-2026-15736. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical was found in Snowflake SQLAlchemy up to 1.10.x. Affected by this vulnerability is some unknown processing of the component Merge Operations/Query-Building API/Connection Configuration. The manipulation of the argument column identifiers/crafted string/connection configuration parameters/request field names with an unknown input leads to a sql injection vulnerability. The CWE definition for the vulnerability is CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

Snowflake SQLAlchemy versions prior to 1.11.0 contain several security vulnerabilities, including: Improper handling of user-supplied column identifiers in merge operations could allow SQL injection through attacker-controlled input keys. An attacker may be able to exploit this through request field names in a dynamic upsert endpoint, potentially enabling read access to data visible to the application's database role or modification of values within the same MERGE statement. Improper literal rendering of bound parameters when building certain Snowflake-specific table creation queries could allow SQL injection. An attacker may be able to exploit this by supplying a crafted string to any application endpoint that passes user-controlled data through the affected query-building API, potentially causing arbitrary data exfiltration within the scope of the connection role. Improper forwarding of connection configuration parameters could allow an attacker to cause the library to read arbitrary local files and transmit their contents to an attacker-controlled endpoint. An attacker may be able to exploit this in deployment environments that accept user-controlled connection parameters, potentially exposing sensitive files accessible to the application process. The fix is available in Snowflake SQLAlchemy version 1.11.0. Users must manually upgrade.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-15736 since 07/14/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

Upgrading to version 1.11.0 eliminates this vulnerability.

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

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.3
VulDB Meta Temp Score: 7.0

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

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

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Upgrade: SQLAlchemy 1.11.0

Timelineinfo

07/14/2026 Advisory disclosed
07/14/2026 +0 days CVE reserved
07/14/2026 +0 days VulDB entry created
07/14/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-15736 (🔒)
GCVE (CVE): GCVE-0-2026-15736
GCVE (VulDB): GCVE-100-378307

Entryinfo

Created: 07/14/2026 16:49
Changes: 07/14/2026 16:49 (54)
Complete: 🔍
Cache ID: 216::103

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

Discussion

No comments yet. Languages: en.

Please log in to comment.

Do you need the next level of professionalism?

Upgrade your account now!