Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-21683 is a high-severity Code Injection (CWE-94) vulnerability in Atlassian Confluence Data Center. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 0.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-21683 is a high-severity remote code execution vulnerability in Atlassian Confluence Data Center and Server, introduced in version 5.2. It carries a CVSS 3.1 score of 8.8 and stems from improper control of code generation (CWE-94), enabling an authenticated attacker to run arbitrary code on the affected instance.
An authenticated attacker with network access can exploit the flaw without user interaction to achieve full remote code execution, resulting in high impact to confidentiality, integrity, and availability of the Confluence instance.
Atlassian advises customers to upgrade Confluence Data Center and Server to the latest version or one of the supported fixed releases listed in the release notes; downloads are available from the vendor’s archive site. The vulnerability was discovered internally and has not been linked to external reports of active exploitation.
The associated EPSS score stands at 0.9405.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-19299
Vulnerability Data
This High severity RCE (Remote Code Execution) vulnerability was introduced in version 5.2 of Confluence Data Center and Server. This RCE (Remote Code Execution) vulnerability, with a CVSS Score of 7.2, allows an authenticated attacker to execute arbitrary code which…
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has high impact to confidentiality, high impact to integrity, high impact to availability, and requires no user interaction. Atlassian recommends that Confluence Data Center and Server customers upgrade to latest version. If you are unable to do so, upgrade your instance to one of the specified supported fixed versions. See the release notes https://confluence.atlassian.com/doc/confluence-release-notes-327.html You can download the latest version of Confluence Data Center and Server from the download center https://www.atlassian.com/software/confluence/download-archives. This vulnerability was found internally.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation finds code paths that accept and execute externally influenced strings.
Input validation directly stops untrusted data from being used to construct executable code without neutralization.
Least privilege limits the damage an injected code fragment can perform once executed.
Requiring documented secure development standards and tools enforces use of safe code-generation APIs and escaping.
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.
PR.PS-06's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
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.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.
Controls that restrict unauthorized or malicious code from being introduced via external networks or removable media limit opportunities for an attacker to inject and execute arbitrary code.