Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-37924 is a critical-severity SQL Injection (CWE-89) vulnerability in Apache Submarine. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
Apache Submarine versions 0.7.0 through 0.7.x contain an SQL injection flaw in the login process, tracked as CVE-2023-37924 and assigned CWE-89. The vulnerability stems from insufficient input sanitization during authentication, enabling crafted requests to bypass normal credential checks and reach the workbench without a valid account. It carries a CVSS 3.1 score of 9.8, reflecting network-accessible exploitation with no required privileges or user interaction.
An unauthenticated remote attacker can submit malicious SQL through the login endpoint to obtain unauthorized access. Successful exploitation grants the ability to log in as any user, including administrative accounts, thereby compromising the confidentiality, integrity, and availability of the Submarine instance and any connected machine-learning workloads.
The Apache project addressed the issue in release 0.8.0, which enforces proper authentication, adds OIDC support, and eliminates unauthenticated login paths. Users unable to upgrade immediately are advised to apply the fixes from pull requests 1037 and 1054, then rebuild the submarine-server container image. The EPSS score has reached 0.77 with no documented rise after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0043
Vulnerability Data
Apache Software Foundation Apache Submarine has an SQL injection vulnerability when a user logs in. This issue can result in unauthorized login. Now we have fixed this issue and now user must have the correct login to access workbench. This…
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issue affects Apache Submarine: from 0.7.0 before 0.8.0. We recommend that all submarine users with 0.7.0 upgrade to 0.8.0, which not only fixes the issue, supports the oidc authentication mode, but also removes the case of unauthenticated logins. If using the version lower than 0.8.0 and not want to upgrade, you can try cherry-pick PR https://github.com/apache/submarine/pull/1037 https://github.com/apache/submarine/pull/1054 and rebuild the submarine-server image to fix this.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.