CVE-2022-35870
Published: 25 July 2022
Summary
CVE-2022-35870 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Inductiveautomation Ignition. Its CVSS base score is 7.8 (High).
Operationally, ranked in the top 4.5% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2022-35870 is a deserialization of untrusted data vulnerability in Inductive Automation Ignition version 8.1.15 (build 2022030114). The flaw resides in the com.inductiveautomation.metro.impl component and stems from insufficient validation of user-supplied input. It carries a CVSS 3.1 score of 7.8 and is also tracked as CWE-502; the issue was originally reported as ZDI-CAN-17265.
Although the vulnerability requires authentication, the existing mechanism can be bypassed, enabling remote attackers to supply malicious serialized data. Successful exploitation grants the attacker the ability to execute arbitrary code in the context of the SYSTEM account on the affected installation.
Public advisories from Zero Day Initiative (ZDI-22-1017) and Inductive Automation address the issue in the context of Pwn2Own 2022 findings, directing users to vendor support resources for remediation details.
The associated EPSS score has remained flat at a peak of 0.1937 with no material increase observed after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-38743
Vulnerability details
This vulnerability allows remote attackers to execute arbitrary code on affected installations of Inductive Automation Ignition 8.1.15 (b2022030114). Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed. The specific flaw exists within com.inductiveautomation.metro.impl. The…
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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-17265.
- 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.