Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-45507 is a critical-severity Code Injection (CWE-94) vulnerability in Apache Ofbiz. Its CVSS base score is 9.8 (Critical).
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 AC-4 (Information Flow Enforcement) and SA-11 (Developer Testing and Evaluation) — 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-2024-45507 is a Server-Side Request Forgery (SSRF) and code injection vulnerability, tracked under CWE-918 and CWE-94, that affects Apache OFBiz versions prior to 18.12.16. The flaw received a CVSS 3.1 score of 9.8, reflecting network-accessible attack vectors with no required authentication or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can supply crafted requests that trigger unauthorized server-side resource access or arbitrary code execution within the OFBiz application. Successful exploitation allows the attacker to read or modify sensitive data, execute injected code, and potentially pivot to other internal systems reachable by the OFBiz server.
Apache OFBiz project advisories and the associated security bulletin direct users to upgrade immediately to the fixed release 18.12.16; the correction is also referenced in the project download page and the OFBIZ-13132 issue tracker. The EPSS score currently stands at 0.8951 with a recorded peak of 0.9048, indicating sustained high exploitation likelihood since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-41516
Vulnerability Data
Server-Side Request Forgery (SSRF), Improper Control of Generation of Code ('Code Injection') vulnerability in Apache OFBiz. This issue affects Apache OFBiz: before 18.12.16. Users are recommended to upgrade to version 18.12.16, which fixes the issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
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.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
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).
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
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.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.
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.