How this vulnerability can be exploited
This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality low, integrity none, availability low.
CVSS metrics in full
The score comes from this vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L
- Attack vector: Network — reachable from anywhere that can route to the service.
- Attack complexity: Low — the attack works reliably, with no preparation.
- Privileges required: None — an unauthenticated stranger can try it.
- User interaction: None — nobody has to be tricked into anything.
- Scope: Unchanged — the damage stays inside the vulnerable component.
- Confidentiality impact: Low — limited, and the attacker does not choose what is affected.
- Integrity impact: None.
- Availability impact: Low — limited, and the attacker does not choose what is affected.
Weakness class
CVE-2023-5192 is classified as CWE-1049: Excessive Data Query Operations in a Large Data Table. The product performs a data query with a large number of joins and sub-queries on a large data table.
Affected software
CVE-2023-5192 is recorded against 2 packages.
- core (fixed in 10.3.0)
- pimcore/demo (fixed in 10.3.0)
Timeline and source
Published on 27 September 2023 and last revised on 17 June 2026. A public exploit is known to exist, which raises the urgency of patching considerably. A vendor advisory or fix has been published. Record sourced from NVD.
References
github.com
huntr.dev
github.com
huntr.dev
Other advisories for this package
core has other advisories on record. If you are patching this one, these are worth checking on the same host:
Same weakness in other software
These advisories are the same class of weakness (CWE-1049: Excessive Data Query Operations in a Large Data Table) in other software:
