Red Hat OpenShift AI Data Science Pipelines Operator random values
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.7 | $0-$5k | 0.91 |
Summary
A vulnerability was found in Red Hat OpenShift AI. It has been rated as problematic. Affected by this issue is some unknown functionality of the component Data Science Pipelines Operator. The manipulation leads to random values. This vulnerability is referenced as CVE-2026-18611. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability was found in Red Hat OpenShift AI (version unknown) and classified as problematic. This issue affects an unknown function of the component Data Science Pipelines Operator. The manipulation with an unknown input leads to a random values vulnerability. Using CWE to declare the problem leads to CWE-330. The product uses insufficiently random numbers or values in a security context that depends on unpredictable numbers. Impacted is confidentiality. The summary by CVE is:
A flaw was found in the Data Science Pipelines Operator. This vulnerability allows an unauthenticated attacker to derive sensitive credentials, such as MariaDB root/user passwords and MinIO access/secret keys, if they can access the MinIO Route or MariaDB Service. The flaw occurs because the operator uses a cryptographically weak pseudo-random number generator (PRNG) to generate these credentials, making them predictable. Successful exploitation could lead to unauthorized access to all pipeline artifacts and metadata, resulting in significant information disclosure.
The advisory is shared at access.redhat.com. The identification of this vulnerability is CVE-2026-18611 since 08/03/2026. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/10/2026). MITRE ATT&CK project uses the attack technique T1600.001 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.redhat.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.7VulDB Meta Temp Score: 3.7
VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Random valuesCWE: CWE-330 / CWE-310
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/03/2026 CVE reserved08/10/2026 Advisory disclosed
08/10/2026 VulDB entry created
08/10/2026 VulDB entry last update
Sources
Vendor: redhat.comAdvisory: access.redhat.com
Status: Not defined
CVE: CVE-2026-18611 (🔒)
GCVE (CVE): GCVE-0-2026-18611
GCVE (VulDB): GCVE-100-387905
Entry
Created: 08/10/2026 23:21Changes: 08/10/2026 23:21 (52)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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