Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2023-28323 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Ivanti Endpoint Manager. 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 13% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV 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.
A deserialization of untrusted data vulnerability, tracked as CVE-2023-28323 and assigned CWE-502, affects Ivanti EPM 2022 SU3 and all prior versions. The flaw carries a CVSS 3.1 score of 9.8 reflecting network-accessible attack conditions with no required authentication or user interaction and full impact on confidentiality, integrity, and availability.
An unauthenticated remote attacker can supply malicious serialized data to elevate privileges on the affected system. The resulting access may be chained with separate operating-system vulnerabilities to achieve further local privilege escalation or to pivot laterally toward other network-attached hosts.
Ivanti has published mitigation guidance in security advisory SA-2023-06-20-CVE-2023-28323, available at the referenced Ivanti forums URL. The EPSS score has remained low and essentially flat, with a current value of 0.0753 against a recorded peak of 0.0813.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-32030
Vulnerability Data
A deserialization of untrusted data exists in EPM 2022 Su3 and all prior versions that allows an unauthenticated user to elevate rights. This exploit could potentially be used in conjunction with other OS (Operating System) vulnerabilities to escalate privileges on…
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the machine or be used as a stepping stone to get to other network attached machines.
- CWE(s)
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.