Dataease SQLBot up to 1.6.x /api/v1/datasource/check server-side request forgery

CVSS Meta Temp Score
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CTI Interest Score
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6.7$0-$5k0.00

Summaryinfo

A vulnerability categorized as critical has been discovered in Dataease SQLBot up to 1.6.x. Impacted is an unknown function of the file /api/v1/datasource/check. Such manipulation leads to server-side request forgery. This vulnerability is traded as CVE-2026-32949. The attack may be launched remotely. There is no exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability, which was classified as critical, has been found in Dataease SQLBot up to 1.6.x. Affected by this issue is an unknown functionality of the file /api/v1/datasource/check. The manipulation with an unknown input leads to a server-side request forgery vulnerability. Using CWE to declare the problem leads to CWE-918. The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. Impacted is confidentiality, integrity, and availability. CVE summarizes:

SQLBot is an intelligent data query system based on a large language model and RAG. Versions prior to 1.7.0 contain a Server-Side Request Forgery (SSRF) vulnerability that allows an attacker to retrieve arbitrary system and application files from the server. An attacker can exploit the /api/v1/datasource/check endpoint by configuring a forged MySQL data source with a malicious parameter extraJdbc="local_infile=1". When the SQLBot backend attempts to verify the connectivity of this data source, an attacker-controlled Rogue MySQL server issues a malicious LOAD DATA LOCAL INFILE command during the MySQL handshake. This forces the target server to read arbitrary files from its local filesystem (such as /etc/passwd or configuration files) and transmit the contents back to the attacker. This issue was fixed in version 1.7.0.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2026-32949 since 03/17/2026. The exploitation is known to be easy. The attack may be launched remotely. There are known technical details, but no exploit is available.

Upgrading to version 1.7.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch ff98514827bad99b8fa4b39385adecc6e3d44355 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Once again VulDB remains the best source for vulnerability data.

Productinfo

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CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 6.9
VulDB Meta Temp Score: 6.7

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

NVD Base Score: 7.5
NVD Vector: 🔒

CVSSv2info

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

Exploitinginfo

Class: Server-side request forgery
CWE: CWE-918
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: SQLBot 1.7.0
Patch: ff98514827bad99b8fa4b39385adecc6e3d44355

Timelineinfo

03/17/2026 CVE reserved
03/20/2026 +3 days Advisory disclosed
03/20/2026 +0 days VulDB entry created
03/26/2026 +6 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: GHSA-wqj3-xcxf-j9m9
Status: Confirmed

CVE: CVE-2026-32949 (🔒)
GCVE (CVE): GCVE-0-2026-32949
GCVE (VulDB): GCVE-100-351884

Entryinfo

Created: 03/20/2026 07:52
Updated: 03/26/2026 08:31
Changes: 03/20/2026 07:52 (71), 03/23/2026 10:26 (1), 03/26/2026 08:31 (11)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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