Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2022-24816 is a critical-severity Code Injection (CWE-94) vulnerability in Geosolutionsgroup Jai-Ext. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 0.1% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities 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.
CVE-2022-24816 is a remote code execution vulnerability in the JAI-EXT library, an open-source extension to the Java Advanced Imaging API. It arises when applications accept Jiffle scripts over the network and compile them into Java bytecode using the Janino library; the lack of input sanitization permits arbitrary code injection. The flaw directly affects downstream projects such as GeoServer that expose this functionality.
An unauthenticated attacker can supply a malicious Jiffle script via a network request, causing the application to compile and execute attacker-controlled Java code. Successful exploitation yields full confidentiality, integrity Availability impact and crosses trust boundaries, consistent with the CVSS 10.0 rating and CWE-94 classification.
The project’s security advisory and patch release (version 1.2.22) disable the ability to inject executable code into compiled scripts. Administrators who cannot upgrade are advised to remove the janino JAR from the runtime classpath, thereby preventing Jiffle compilation entirely. The vulnerability is catalogued in CISA’s Known Exploited Vulnerabilities list, and its EPSS score has remained consistently high (current 0.94, peak 0.97), indicating sustained exploitation interest after disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-2600
Vulnerability Data
JAI-EXT is an open-source project which aims to extend the Java Advanced Imaging (JAI) API. Programs allowing Jiffle script to be provided via network request can lead to a Remote Code Execution as the Jiffle script is compiled into Java…
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code via Janino, and executed. In particular, this affects the downstream GeoServer project. Version 1.2.22 will contain a patch that disables the ability to inject malicious code into the resulting script. Users unable to upgrade may negate the ability to compile Jiffle scripts from the final application, by removing janino-x.y.z.jar from the classpath.
- CWE(s)
- KEV Date Added
- 26 June 2024
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
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.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
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.