Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

CVE-2016-6652

SQL injection vulnerability in Pivotal Spring Data JPA before 1.9.6 (Gosling SR6) and 1.10.x before 1.10.4 (Hopper SR4), when used with a repository that defines a String query using the @Query annotation, allows attackers to execute arbitrary JPQL commands via a sort instance with a function call.

Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.6, indicating it can be exploited remotely over the network but requires specific conditions to be met without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts limited data confidentiality, limited integrity, and limited availability for affected systems. Impacting 1 product from pivotal_software organizations running these solutions should prioritize assessment and patching.

Historical Context

First disclosed in 2016, this vulnerability was reported during a period defined by widespread IoT adoption challenges, mobile security concerns, and the emergence of advanced persistent threat (APT) techniques. Contemporary mitigation strategies focused on secure development practices and third-party component vetting.

Published

2016-10-05T16:59:04.757

Last Modified

2025-04-12T10:46:40.837

Status

Deferred

Source

[email protected]

Severity

CVSSv3.0: 5.6 (MEDIUM)

CVSSv2 Vector

AV:N/AC:M/Au:N/C:P/I:P/A:P

Access Vector: NETWORK
Access Complexity: MEDIUM
Authentication: NONE
Confidentiality Impact: PARTIAL
Integrity Impact: PARTIAL
Availability Impact: PARTIAL

Exploitability Score

8.6

Impact Score

6.4

Weaknesses

Type: Primary
CWE-89

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	pivotal_software	spring_data_jpa	≤ 1.9.4	Yes
Application	pivotal_software	spring_data_jpa	1.10.2	Yes

References

http://www.securityfocus.com/bid/93276 ([email protected])
https://github.com/spring-projects/spring-data-jpa/commit/b8e7fe Patch ([email protected])
https://jira.spring.io/browse/DATAJPA-965 Mitigation, Vendor Advisory ([email protected])
https://pivotal.io/security/cve-2016-6652 Vendor Advisory ([email protected])
https://security.gentoo.org/glsa/201701-01 ([email protected])
http://www.securityfocus.com/bid/93276 (af854a3a-2127-422b-91ae-364da2661108)
https://github.com/spring-projects/spring-data-jpa/commit/b8e7fe Patch (af854a3a-2127-422b-91ae-364da2661108)
https://jira.spring.io/browse/DATAJPA-965 Mitigation, Vendor Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://pivotal.io/security/cve-2016-6652 Vendor Advisory (af854a3a-2127-422b-91ae-364da2661108)
https://security.gentoo.org/glsa/201701-01 (af854a3a-2127-422b-91ae-364da2661108)

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For pivotal_software's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.