CVE-2024-12741
Published: 18 December 2024
Summary
CVE-2024-12741 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Ni (inferred from references). Its CVSS base score is 8.4 (High).
Operationally, ranked in the top 7.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
A deserialization of untrusted data vulnerability, tracked as CVE-2024-12741 and assigned CWE-502, affects National Instruments DAQExpress versions 5.1 and earlier. The flaw can lead to remote code execution when a user opens a maliciously crafted project file. DAQExpress has reached end-of-life status and will receive no security updates.
An attacker can exploit the issue by supplying a specially crafted project file and convincing a target user to open it. Successful exploitation grants the ability to execute arbitrary code on the affected system with impacts rated high for confidentiality, integrity, and availability under a CVSS 4.0 score of 8.4.
The vendor advisory at knowledge.ni.com states that DAQExpress is an EOL product and will not receive patches, effectively directing users to migrate away from the software to eliminate exposure. The associated EPSS score has remained flat at 0.0920 with no material increase observed after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-51082
Vulnerability details
A deserialization of untrusted data vulnerability exists in NI DAQExpress that may result in remote code execution. Successful exploitation requires an attacker to get a user to open a specially crafted project file. This vulnerability affects DAQExpress 5.1 and prior…
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versions. Please note that DAQExpress is an EOL product and will not receive any updates.
- 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.