CVE-2018-2628
RCE in Oracle Weblogic Server 10.3.6.0.0 … 12.2.1.3
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2018-2628 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Oracle Weblogic Server. 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 0.1% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog; a public proof-of-concept is referenced.
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-2018-2628 is a deserialization vulnerability in the WLS Core Components subcomponent of Oracle WebLogic Server within Oracle Fusion Middleware. It affects supported versions 10.3.6.0, 12.1.3.0, 12.2.1.2, and 12.2.1.3, and carries a CVSS 3.0 base score of 9.8 with full impacts to confidentiality, integrity, and availability.
An unauthenticated attacker with network access via the T3 protocol can exploit the flaw to achieve remote takeover of the Oracle WebLogic Server instance. The attack requires no user interaction and is rated as easily exploitable under the supplied CVSS vector.
The primary advisory reference is Oracle's April 2018 Critical Patch Update, which addresses the issue along with other Fusion Middleware vulnerabilities; additional references include SecurityFocus and SecurityTracker entries that point to the same Oracle remediation guidance.
Public exploit code for the issue is available on GitHub and Exploit-DB, indicating that proof-of-concept implementations have been shared since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2018-14483
Vulnerability Data
Vulnerability in the Oracle WebLogic Server component of Oracle Fusion Middleware (subcomponent: WLS Core Components). Supported versions that are affected are 10.3.6.0, 12.1.3.0, 12.2.1.2 and 12.2.1.3. Easily exploitable vulnerability allows unauthenticated attacker with network access via T3 to compromise Oracle…
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WebLogic Server. Successful attacks of this vulnerability can result in takeover of Oracle WebLogic Server. CVSS 3.0 Base Score 9.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).
- CWE(s)
- KEV Date Added
- 08 September 2022
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.