Snowflake Connector for Python: SQL Injection (CVE-2026-123859)
Published Last modified Sources: CVE.org
What is affected, what to do
When identifier escaping is disabled through a non-default configuration, the write_pandas() data-loading functionality in the Snowflake Connector for Python and the Snowflake Connector for Python (Universal Core) did not escape DataFrame column names before including them in generated SQL, which could allow SQL injection. In both products, a crafted column name could have been used to chain additional SQL statements onto the generated statement, potentially allowing an attacker to read, modify, or delete other data accessible to the application's Snowflake role.
Update Snowflake Connector for Python to version 4.8.1, Snowflake Connector for Python (Universal Core) to version 5.2.0.
- Affected
- Snowflake Connector for Python
lt 2.3.4..4.8.1 - Snowflake Connector for Python (Universal Core)
lt 5.0.0b1..5.2.0
- Snowflake Connector for Python
- Fixed in
- Snowflake Connector for Python
4.8.1 - Snowflake Connector for Python (Universal Core)
5.2.0
- Snowflake Connector for Python
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Metrics
8.1
Priority
XIEM Effective CVSS: highest available CVSS rating from NVD and vendor data.
Source: Vendor (CNA), CVSS v3
8.1
CVSS v3
Severity High on the scale from 0 to 10.
Source: CVE.org
—
EPSS score
No value is available for this vulnerability.
Show all metrics
- Severity
- High
Priority (0–325)
The priority score is a consolidated metric that condenses several individual signals into a single, action-guiding ranking: technical severity (CVSS), exploitation likelihood (EPSS), known-exploited status (KEV) and the context of the affected asset. The aim is to answer the only truly important question in vulnerability management: what first?
Read in glossary- 70.50 Methodology
Exploit maturity
An exploit is code or a technique that specifically uses a concrete vulnerability to force unintended behaviour — such as executing code or escalating privileges. It is the tool that turns a theoretical flaw into a practical attack.
Read in glossary- no public PoC known
XIEM Effective CVSS
XIEM® is the tiered managed-security operating model from NEOSEC and a registered trademark of NEOSEC GmbH. It extends classic SIEM — the central collection, normalisation and correlation of security-relevant events — with endpoint forensics, network visibility and deception technology, and consolidates them into three building tiers: Sentry, Orchestrate and Command.
Read in glossary- 8.1 Methodology
CVSS v3
CVSS is the globally established, open standard for assessing the technical severity of a vulnerability on a scale from 0 to 10. It describes how easily a flaw can be exploited and what damage it can cause — but not how likely its actual exploitation is. CVSS and the complementary EPSS deliberately answer different questions.
Read in glossary- 8.1
KEV status
The KEV catalogue is a list maintained by the US authority CISA of vulnerabilities for which active exploitation in the wild has been confirmed. It answers not the question „how severe?“ but „is it already being attacked?“ — thereby sharply prioritising patching.
Read in glossary- —
- Published
- CISA assessment (SSVC)
- Exploitation: none known · not automatable · Technical impact: total
- Source: CISA Vulnrichment, as of 6 November 2026
CWE
CWE is a catalogue of typical weakness types in software and hardware — such as flawed input validation, unsafe memory handling or poor authentication. Where a CVE names a concrete vulnerability in a concrete product, a CWE describes the underlying class of defect.
Read in glossary- CWE-89
Detection rules
No NEOSEC detection rule is available for this vulnerability yet.
Classification under NIS2 and CRA
Rule-based classification from exploitation status and severity. It does not replace a case-by-case assessment.
NIS2
NIS2 is EU Directive (EU) 2022/2555 to raise the level of cybersecurity across the Union. It substantially broadens obligations compared with the first NIS directive: more sectors, mandatory risk management, staged reporting duties and personal accountability of senior management.
Read in glossary- High technical severity: assess and remediate the vulnerability in vulnerability handling under Art. 21(2)(e) NIS2 and document the decision.
CRA
The CRA is EU Regulation (EU) 2024/2847 setting horizontal cybersecurity requirements for „products with digital elements“ — from industrial controllers and software to connected consumer devices. For the first time manufacturers must ensure security across the entire product lifecycle, handle vulnerabilities and provide security updates.
Read in glossary- From 11.12.2027, Annex I Part II CRA requires manufacturers of affected products with digital elements to handle vulnerabilities without delay and provide security updates.
ISO/IEC 27001
ISO/IEC 27001 is the internationally leading standard for an information security management system (ISMS). It describes a risk-based, process-oriented framework to systematically plan, implement, review and improve information security.
Read in glossary- Control A.8.8, management of technical vulnerabilities: assess relevance to your systems, plan remediation and keep evidence.
Description
When identifier escaping is disabled through a non-default configuration, the write_pandas() data-loading functionality in the Snowflake Connector for Python and the Snowflake Connector for Python (Universal Core) did not escape DataFrame column names before including them in generated SQL, which could allow SQL injection. In both products, a crafted column name could have been used to chain additional SQL statements onto the generated statement, potentially allowing an attacker to read, modify, or delete other data accessible to the application's Snowflake role. Exploitation required an application to pass attacker controlled column names into this functionality. The fix is available in Snowflake Connector for Python version 4.8.1 and Snowflake Connector for Python (Universal Core) version 5.2.0. Users must upgrade manually.
Source: NVD (NIST), cvelistv5
Affected products
The following versions are affected. Older releases of the same product line are also vulnerable unless stated otherwise.
| Affected versions | Fixed in | ||
|---|---|---|---|
| Snowflake | Snowflake Connector for Python |
|
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| Snowflake | Snowflake Connector for Python (Universal Core) |
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Vendors and products
Weakness classes (CWE)
CWE-89Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Base
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. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
Entry at MITRE CWE-89
References & sources
- docs.snowflake.comSnowflake Connector for Python Release Notes
- docs.snowflake.comSnowflake Connector for Python (Universal Core) Release Notes
Changes to this CVE
Who changed this CVE and when: NVD (analysis, affected products, CVSS), the CVE publisher (CNA) and additional providers such as CISA (ADP).
Received412d305a…
CVSS V3.1: AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Weakness type: CWE-89
Description added or changed
Show 6 original changes
Individual changes of this event as published by NVD Type Action Before After Description added —When identifier escaping is disabled through a non-default configuration, the write_pandas() data-loading functionality in the Snowflake Connector for Python and the Snowflake Connector for Python (Universal Core) did not escape DataFrame column names before including them in generated SQL, which could allow SQL injection. In both products, a crafted column name could have been used to chain additional SQL statements onto the generated statement, potentially allowing an attacker to read, modify, or delete other data accessible to the application's Snowflake role. Exploitation required an application to pass attacker controlled column names into this functionality. The fix is available in Snowflake Connector for Python version 4.8.1 and Snowflake Connector for Python (Universal Core) version 5.2.0. Users must upgrade manually.CVSS added —AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:HWeakness type (CWE) added —CWE-89Affected versions (publisher) added —New affected value received. <a href="https://github.com/CVEProject/cvelistV5/blob/main/cves/2026/123xxx/CVE-2026-123859.json">CVE-2026-123859</a>Reference added —https://docs.snowflake.com/en/release-notes/clients-drivers/python-connector-2026#version-481-oct-26-2026Reference added —https://docs.snowflake.com/en/release-notes/clients-drivers/python-connector-2026#version-520-nov-4-2026Source identifier: 412d305a-227d-44f9-a262-a31ba44f2aea
Record modifiedCISA ADP
CISA assessment (SSVC): exploitation: none known, automatable: no
Show the original change
Individual changes of this event as published by NVD Type Action Before After SSVC assessment added —{"id":"CVE-2026-123859","role":"CISA Coordinator","options":[{"exploitation":"none"},{"automatable":"no"},{"technicalImpact":"total"}],"version":"2.0.3","timestamp":"2026-11-06T16:43:26.090519Z"}Source identifier: 134c704f-9b21-4f2e-91b3-4a467353bcc0
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<a href="https://intel.neosec.eu/en/cve/CVE-2026-123859"><img src="https://intel.neosec.eu/badge/cve/CVE-2026-123859.svg?lang=en" alt="CVE-2026-123859 – NEOSEC Intel" height="20"></a>