CWEweakness

CWE-1049 Excessive Data Query Operations in a Large Data Table

Official page ↗
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