SciPhi-AI R2R up to 3.6.6 Vector Index Creation index name sql injection

CVSS Meta Temp Score
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CTI Interest Score
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8.4$0-$5k2.99-

Summaryinfo

A vulnerability identified as critical has been detected in SciPhi-AI R2R up to 3.6.6. The affected element is an unknown function of the component Vector Index Creation. Performing a manipulation of the argument index name results in sql injection. This vulnerability is reported as CVE-2026-82526. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability classified as critical has been found in SciPhi-AI R2R up to 3.6.6. This affects some unknown functionality of the component Vector Index Creation. The manipulation of the argument index name with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

R2R through 3.6.6 contains a stacked SQL injection vulnerability that allows unauthenticated attackers to execute arbitrary SQL statements by manipulating the index name parameter in the vector index creation endpoint. The index name is interpolated directly into a CREATE INDEX statement via string formatting without identifier quoting or allowlist validation, enabling arbitrary DDL and DML execution through semicolon-separated statements under the PostgreSQL superuser account.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-82526 since 08/29/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. 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.

Applying the patch 9c5a94d151f90876bd7eb860f300a8fd662dc481 is able to eliminate this problem.

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

Productinfo

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Vendor

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Version

Website

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: 8.5
VulDB Meta Temp Score: 8.4

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

CNA Base Score: 9.8
CNA Vector (VulnCheck): 🔒

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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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: 🔒

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Threat Intelligenceinfo

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

Countermeasuresinfo

Recommended: Patch
Status: 🔍

0-Day Time: 🔒

Patch: 9c5a94d151f90876bd7eb860f300a8fd662dc481

Timelineinfo

08/29/2026 CVE reserved
09/03/2026 +5 days Advisory disclosed
09/03/2026 +0 days VulDB entry created
09/03/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-82526 (🔒)
GCVE (CVE): GCVE-0-2026-82526
GCVE (VulDB): GCVE-100-398547

Entryinfo

Created: 09/03/2026 20:41
Changes: 09/03/2026 20:41 (78)
Complete: 🔍
Cache ID: 216::103

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