CVE-2024-41874
Published: 13 September 2024
Summary
CVE-2024-41874 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Adobe Coldfusion. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 2.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
ColdFusion versions 2023.9, 2021.15 and earlier are affected by a Deserialization of Untrusted Data vulnerability, tracked as CVE-2024-41874 and assigned CWE-502. The flaw permits arbitrary code execution in the context of the current user when untrusted input is deserialized by the application. It carries a CVSS 3.1 score of 9.8, reflecting network attackability without authentication or user interaction.
An unauthenticated attacker can supply specially crafted serialized data over the network to trigger the vulnerability, resulting in execution of attacker-controlled code on the affected ColdFusion server. No user interaction is required for successful exploitation.
Adobe has published advisory APSB24-71 detailing the issue and available updates for the impacted ColdFusion releases. The EPSS score stands at 0.3533 with no material increase from a lower baseline.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-39251
Vulnerability details
ColdFusion versions 2023.9, 2021.15 and earlier are affected by a Deserialization of Untrusted Data vulnerability that could result in arbitrary code execution in the context of the current user. An attacker could exploit this vulnerability by providing crafted input to…
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the application, which when deserialized, leads to execution of malicious code. Exploitation of this issue does not require user interaction.
- 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.