CVE-2025-42895: SAP HANA JDBC Client · Code Injection
Affects SAP HANA JDBC ClientSource CVE Database V5
Not known to be exploited · CVSS 6.9 Medium.
Data as of 26 Oct 2026, 17:16 UTC
- EPSS
- 0.1% chance of exploitation in 30 days – higher than 6% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:L/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:HExploitation evidence
Disclosed: evidence found.
CVE published 11 Nov 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
AI-suggested
To mitigate this vulnerability, organizations should implement strict access controls to limit local high-privilege user access to systems running the SAP HANA JDBC Client. Monitoring and auditing of privileged user activities should be enhanced to detect any unusual parameter usage or attempts to load unauthorized code. Although no official patches are currently available, organizations should stay alert for SAP security advisories and apply updates promptly once released. Additionally, employing application whitelisting and restricting execution of unauthorized binaries can reduce the risk of code loading attacks. Network segmentation and isolation of critical SAP HANA infrastructure can further limit the impact of potential exploitation. Finally, conducting regular security training for administrators to recognize and prevent misuse of privileged access is recommended.
Description
Due to insufficient validation of connection property values, the SAP HANA JDBC Client allows a high-privilege locally authenticated user to supply crafted parameters that lead to unauthorized code loading, resulting in low impact on confidentiality and integrity and high impact on availability of the application.