Okta Auth0 AI Langchain/Auth0 AI Llamaindex FGA Retriever improper authorization

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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4.3$0-$5k0.00+

Summaryinfo

A vulnerability identified as problematic has been detected in Okta Auth0 AI Langchain and Auth0 AI Llamaindex. The impacted element is an unknown function of the component FGA Retriever. This manipulation causes improper authorization. This vulnerability is tracked as CVE-2026-108167. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability has been found in Okta Auth0 AI Langchain and Auth0 AI Llamaindex (affected version not known) and classified as problematic. Affected by this vulnerability is some unknown functionality of the component FGA Retriever. The manipulation with an unknown input leads to a improper authorization vulnerability. The CWE definition for the vulnerability is CWE-285. The product does not perform or incorrectly performs an authorization check when an actor attempts to access a resource or perform an action. As an impact it is known to affect confidentiality. The summary by CVE is:

The auth0-ai-python FGA retriever does not distinguish between authorization checks under different users, relations, or conditions when filtering documents during retrieval-augmented generation, resulting in documents denied by Auth0 FGA being included in the model context and used in the generated response.

It is possible to read the advisory at trust.okta.com. This vulnerability is known as CVE-2026-108167 since 10/09/2026. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 11/10/2026). The attack technique deployed by this issue is T1548.002 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

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

Productinfo

Type

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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

Exploitinginfo

Class: Improper authorization
CWE: CWE-285 / CWE-266
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: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

10/09/2026 CVE reserved
11/10/2026 +32 days Advisory disclosed
11/10/2026 +0 days VulDB entry created
11/10/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: trust.okta.com
Status: Not defined

CNA: Okta
CVE: CVE-2026-108167 (🔒)

GCVE (CVE): GCVE-0-2026-108167
GCVE (VulDB): GCVE-100-434947

Entryinfo

Created: 11/10/2026 22:49
Changes: 11/10/2026 22:49 (52)
Complete: 🔍
Cache ID: 216::103

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

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