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-2023-34659 is a critical-severity SQL Injection (CWE-89) vulnerability in Jeecg Jeecg Boot. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Protocol or Service Impersonation (T1001.003); ranked in the top 4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
jeecg-boot versions 3.5.0 and 3.5.1 contain a SQL injection vulnerability in the id parameter of the /jeecg-boot/jmreport/show interface. The flaw is tracked as CWE-89 and carries 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 crafted input to the affected endpoint and execute arbitrary SQL commands against the backend database. Successful exploitation grants full read, write, and delete access to database contents, enabling data exfiltration, modification, or service disruption.
The associated GitHub issue references do not contain published patches or mitigation guidance. The EPSS score for this CVE stands at 0.9191 with an identical recorded peak, indicating sustained exploitation interest since disclosure.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-1756
Vulnerability Data
jeecg-boot 3.5.0 and 3.5.1 have a SQL injection vulnerability the id parameter of the /jeecg-boot/jmreport/show interface.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
—
—
—
V6.2.5
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.
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.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
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.
A.5.6 only improves knowledge flow, awareness of threats/patches and access to specialist advice; it does not stop SQL injection from being exploitable in code that still contains the flaw.