Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2023-49442 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Jeecg Jeecg. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Junk Data (T1001.001); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2023-49442 is a deserialization of untrusted data vulnerability (CWE-502) affecting the jeecgFormDemoController component in JEECG 4.0 and earlier versions. The flaw permits remote code execution when the application processes a specially crafted serialized object submitted in a POST request, carrying a CVSS 3.1 base score of 9.8.
Unauthenticated attackers with network access can exploit the issue by sending a malicious POST request to the affected controller endpoint. Successful exploitation grants the attacker the ability to execute arbitrary code on the server, resulting in full confidentiality, integrity, and availability impact.
Public technical write-ups, including the referenced analysis at lemono.fun, describe the request construction and gadget chains used to trigger the deserialization. The CVE carries an EPSS score of 0.5552, indicating substantial observed exploitation interest.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-53406
Vulnerability Data
Deserialization of Untrusted Data in jeecgFormDemoController in JEECG 4.0 and earlier allows attackers to run arbitrary code via crafted POST request.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.