Description

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.

Executive Summary

Technical Details

Mitigations

References

Additional Metadata

{
  "score": "7.5",
  "pubDate": "2026-08-10T21:17:20.120Z",
  "pubdate": "2026-08-10T21:17:20.120Z",
  "executiveSummary": "A critical security vulnerability has been identified within the Data Science Pipelines Operator. This flaw involves the use of a cryptographically weak pseudo-random number generator (PRNG) for the generation of sensitive credentials, specifically MariaDB root and user passwords alongside MinIO access and secret keys. The utilization of a predictable PRNG undermines the cryptographic entropy required for secret generation, directly exposing the affected systems to severe confidentiality breaches. An unauthenticated attacker capable of network access to the MinIO Route or MariaDB Service can successfully predict or derive these hard-coded or dynamically generated credentials without requiring prior authorization or privileges. Successful exploitation of this vulnerability grants the adversary unauthorized access to all underlying pipeline artifacts, metadata, and backend data stores managed by the affected services. This leads to substantial information disclosure, potentially compromising the entire data science pipeline infrastructure, exposing proprietary models, sensitive training datasets, and operational parameters. The risk implications are critical, as the exposure of administrative database credentials and object storage keys allows complete compromise of data integrity and confidentiality within the operational scope of the pipeline services.",
  "technicalDetails": "The vulnerability resides within the credential generation mechanism of the Data Science Pipelines Operator. The root cause of the security defect stems from the implementation of an insecure, cryptographically weak pseudo-random number generator (PRNG) to construct high-entropy secrets, such as database authentication keys and object storage access parameters. In cryptographic engineering, the generation of secrets like MariaDB root/user passwords and MinIO access/secret keys necessitates the use of a Cryptographically Secure Pseudo-Random Number Generator (CSPRNG) to prevent state prediction. Because a weak PRNG relies on deterministic algorithms with easily reproducible seed states or limited state spaces, the output sequence of generated credentials becomes mathematically predictable.\nThe attack flow begins with network reconnaissance where an unauthenticated attacker identifies and gains network reachability to the exposed MinIO Route or MariaDB Service. Since the affected components lack strict pre-authentication access controls at the routing layer or rely on the predictably generated secrets, the attacker targets the predictable nature of the PRNG implementation. By analyzing previously observed generated values or leveraging the deterministic properties of the weak PRNG algorithm utilized by the operator, the attacker can reconstruct the internal state or compute the exact sequence of generated credentials. This computational derivation allows the adversary to accurately calculate the active MariaDB root/user passwords and MinIO access/secret keys without needing to perform brute-force attacks that might trigger rate-limiting or intrusion detection systems.\nOnce the sensitive credentials are successfully derived, the post-exploitation impact is severe. The attacker leverages the acquired MinIO access and secret keys to authenticate directly against the object storage endpoints, granting them read and write access to all stored pipeline artifacts, datasets, and intermediate model outputs. Simultaneously, the compromised MariaDB root or user credentials allow the adversary to execute arbitrary database queries against the backend metadata store, exposing pipeline execution history, configuration parameters, and potentially other sensitive application data. The vulnerability requires network exposure of the MinIO Route or MariaDB Service and does not mandate any prior authentication or special user privileges, lowering the threshold for successful compromise by external or internal unauthenticated actors."
}