CVE-2023-50220
Published: 03 May 2024
Summary
CVE-2023-50220 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Inductiveautomation Ignition. Its CVSS base score is 8.8 (High).
Operationally, ranked in the top 8.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2023-50220 is a remote code execution vulnerability in Inductive Automation Ignition stemming from unsafe deserialization in the Base64Element class. The flaw arises from insufficient validation of user-supplied data, allowing an attacker to trigger deserialization of untrusted content. It affects Ignition installations and carries a CVSS 3.1 score of 8.8 with the CWE-502 designation.
Authenticated remote attackers can exploit the issue over the network to execute arbitrary code with SYSTEM-level privileges. No user interaction is required beyond valid credentials, and the attack can fully compromise confidentiality, integrity, and availability on the target system.
Vendor advisories from Inductive Automation and the Zero Day Initiative (ZDI-24-015) address the flaw; the EPSS score has remained flat at 0.0708 with no material increase since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-55042
Vulnerability details
Inductive Automation Ignition Base64Element Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition. Authentication is required to exploit this vulnerability. The specific flaw exists within…
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the Base64Element class. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of SYSTEM. Was ZDI-CAN-21801.
- 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.