Spring Data Commons contains a vulnerability that can lead to a Denial of Service (DoS) condition...

CVE-2026-41721 → View on GitHub ↗ View on CVE.org ↗ View on NVD ↗

Description

Spring Data Commons contains a vulnerability that can lead to a Denial of Service (DoS) condition if Spring Data Web Support is enabled in conjunction with a Controller method using @ProjectedPayload, when an attacker sends a specially crafted HTTP request that causes the application to allocate lots of memory.

Affected versions:
Spring Data Commons 4.0.0 through 4.0.5; 3.5.0 through 3.5.11; 3.4.0 through 3.4.14; 3.3.0 through 3.3.16; 3.2.0 through 3.2.15; 3.1.0 through 3.1.14; 3.0.0 through 3.0.15; 2.7.0 through 2.7.19.

Basic information

Type
unreviewed
Severity
medium
Advisory on GitHub
Open advisory ↗
Repository advisory
—
Source code
Not specified
Published (advisory)
2026-06-10 00:31:52 UTC
Updated
2026-06-10 00:31:59 UTC
NVD published
2026-06-09

EPSS Score

Score Percentile
0.23% 45.67%

CVSS Scores

Base score Version Severity Vector
5.9 3.1 —
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:H)
Even with access, the exploit needs extra luck, timing, or a fussy environment to actually work.
Privileges required (PR:N)
No account or special rights needed—anonymous or random user is enough.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:N)
Doesn’t really leak secrets in a meaningful way.
Integrity (I:N)
Data isn’t meaningfully altered or forged.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.

Identifiers

Type Value
GHSA GHSA-5m4m-73w9-8433 ↗
CVE CVE-2026-41721 ↗

CWEs

CWE id Name
CWE-400 Uncontrolled Resource Consumption

References

cvelogic Threat Intelligence