CVE-2023-36745
Published: 12 September 2023
Summary
CVE-2023-36745 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Microsoft Exchange Server. Its CVSS base score is 8.0 (High).
Operationally, ranked in the top 1.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
Microsoft Exchange Server is affected by a remote code execution vulnerability tracked as CVE-2023-36745. The flaw, which carries a CVSS score of 8.0, is associated with CWE-502 and was disclosed on September 12, 2023.
An attacker with low privileges on an adjacent network can exploit the issue without user interaction to execute arbitrary code, resulting in complete compromise of confidentiality, integrity, and availability on the affected system.
Microsoft has published advisories addressing the vulnerability at https://msrc.microsoft.com/update-guide/vulnerability/CVE-2023-36745. The exploitation probability stands at a current EPSS value of 0.7359, which matches its recorded peak.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-40688
Vulnerability details
Microsoft Exchange Server Remote Code Execution Vulnerability
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
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.