CVE-2022-21445
RCE in Oracle Application Development Framework 12.2.1.3.0 … 12.2.1.4.0
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2022-21445 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Oracle Application Development Framework. 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 0.9% 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-2022-21445 is a deserialization vulnerability in the ADF Faces component of Oracle Application Development Framework within Oracle Fusion Middleware. It affects versions 12.2.1.3.0 and 12.2.1.4.0, which are obtained through the Oracle JDeveloper product. The flaw carries a CVSS 3.1 base score of 9.8 and permits remote code execution that can fully compromise the ADF runtime.
An unauthenticated attacker with network access over HTTP can exploit the issue without user interaction. Successful exploitation grants complete control over the affected ADF instance, resulting in loss of confidentiality, integrity, and availability.
Oracle's April 2022 Critical Patch Update addresses the vulnerability and directs administrators to Fusion Middleware Patch Advisor for remediation details. The CVE is also listed in CISA's Known Exploited Vulnerabilities catalog, confirming active exploitation in the wild. The associated EPSS score remains elevated near 0.92 with no material post-disclosure climb from a low baseline.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-26669
Vulnerability Data
Vulnerability in the Oracle Application Development Framework (ADF) product of Oracle Fusion Middleware (component: ADF Faces). Supported versions that are affected are 12.2.1.3.0 and 12.2.1.4.0. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Application…
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Development Framework (ADF). Successful attacks of this vulnerability can result in takeover of Oracle Application Development Framework (ADF). Note: Oracle Application Development Framework (ADF) is downloaded via Oracle JDeveloper Product. Please refer to Fusion Middleware Patch Advisor for more details. CVSS 3.1 Base Score 9.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).
- CWE(s)
- KEV Date Added
- 18 September 2024
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
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.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing 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-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
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.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.