Red Hat OpenShift AI/OpenShift Data Science access control

CVSS Meta Temp Score
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Current Exploit Price (≈)
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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.
7.7$5k-$25k0.00

Summaryinfo

A vulnerability identified as critical has been detected in Red Hat OpenShift AI and OpenShift Data Science. Affected is an unknown function. The manipulation leads to access control. This vulnerability is documented as CVE-2024-7557. The attack requires being on the local network. There is not any exploit available.

Detailsinfo

A vulnerability was found in Red Hat OpenShift AI and OpenShift Data Science (affected version not known). It has been rated as critical. This issue affects some unknown functionality. The manipulation with an unknown input leads to a access control vulnerability. Using CWE to declare the problem leads to CWE-284. The product does not restrict or incorrectly restricts access to a resource from an unauthorized actor. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

A vulnerability was found in OpenShift AI that allows for authentication bypass and privilege escalation across models within the same namespace. When deploying AI models, the UI provides the option to protect models with authentication. However, credentials from one model can be used to access other models and APIs within the same namespace. The exposed ServiceAccount tokens, visible in the UI, can be utilized with oc --token={token} to exploit the elevated view privileges associated with the ServiceAccount, leading to unauthorized access to additional resources.

It is possible to read the advisory at access.redhat.com. The identification of this vulnerability is CVE-2024-7557 since 08/06/2024. The exploitation is known to be easy. The attack can only be initiated within the local network. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 09/12/2025). The attack technique deployed by this issue is T1068 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.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2024-48861). Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

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License

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.7

VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 8.8
NVD Vector: 🔍

CNA Base Score: 8.8
CNA Vector (redhat): 🔍

CVSSv2info

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

Exploitinginfo

Class: Access control
CWE: CWE-284 / CWE-266
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: no mitigation known
Status: 🔍

0-Day Time: 🔍

Timelineinfo

08/06/2024 🔍
08/09/2024 +3 days 🔍
08/09/2024 +0 days 🔍
09/12/2025 +399 days 🔍

Sourcesinfo

Vendor: redhat.com

Advisory: access.redhat.com
Status: Confirmed

CVE: CVE-2024-7557 (🔍)
GCVE (CVE): GCVE-0-2024-7557
GCVE (VulDB): GCVE-100-274031
EUVD: 🔍

Entryinfo

Created: 08/09/2024 07:06
Updated: 09/12/2025 14:08
Changes: 08/09/2024 07:06 (61), 08/13/2024 20:49 (13), 09/18/2024 10:32 (7), 09/12/2025 14:08 (1)
Complete: 🔍
Cache ID: 216::103

Be aware that VulDB is the high quality source for vulnerability data.

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