CWEweakness
CWE-1049 Excessive Data Query Operations in a Large Data Table
- Abstraction
- Base
- Structure
- Simple
- Status
- Incomplete
- Languages
- Not Language-Specific
- CWE version
- 5.0
Description
The product performs a data query with a large number of joins
and sub-queries on a large data table.
Common consequences
• Other: Reduce Performance — This issue can make the product perform more slowly. If the relevant code is reachable by an attacker, then this performance problem might introduce a vulnerability.
Detection methods
• Automated Static Analysis: Automated static analysis, commonly referred to as Static Application Security Testing (SAST), can find some instances of this weakness by analyzing source code (or binary/compiled code) without having to execute it. Typically, this is done by building a model of data flow and control flow, then searching for potentially-vulnerable patterns that connect "sources" (origins of input) with "sinks" (destinations where the data interacts with external components, a lower layer such as the OS, etc.)
Related
Child of · CWE (1)
- CWE-1176 Inefficient CPU Computation weakness
Referenced by CVE · weakness (3)
- CVE-2025-0190 In version 3.25.0 of aimhubio/aim, a denial of service vulnerability exists. vulnerability
- CVE-2023-5192 Excessive Data Query Operations in a Large Data Table in GitHub repository pimcore/demo prior to 10.3.0. vulnerability
- CVE-2019-8460 OpenBSD kernel version <= 6.5 can be forced to create long chains of TCP SACK holes that causes very expensive calls to tcp_sack_option()… vulnerability