CVE-2023-24997
Published: 01 February 2023
Summary
CVE-2023-24997 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Inlong. Its CVSS base score is 9.8 (Critical).
Operationally, ranked in the top 20.3% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
CVE-2023-24997 is a deserialization of untrusted data vulnerability, tracked under CWE-502, that affects Apache InLong versions 1.1.0 through 1.5.0. The flaw received a CVSS 3.1 base score of 9.8, reflecting network-accessible attack vectors that require no authentication or user interaction.
An unauthenticated remote attacker can supply a crafted serialized object to an affected InLong instance, leading to arbitrary code execution with full confidentiality, integrity, and availability impact on the target system.
Apache advisories direct users to upgrade to the latest InLong release or apply the fix from pull request 7223 referenced in the project repository.
The associated EPSS score rose from a low baseline to a peak of 0.1923 on 2025-01-22 before receding to its current value of 0.0124, indicating a period of increased exploitation interest after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0596
Vulnerability details
Deserialization of Untrusted Data vulnerability in Apache Software Foundation Apache InLong.This issue affects Apache InLong: from 1.1.0 through 1.5.0. Users are advised to upgrade to Apache InLong's latest version or cherry-pick https://github.com/apache/inlong/pull/7223 https://github.com/apache/inlong/pull/7223 to solve it.
- 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.