CWE-1060 Detail

CWE-1060

Excessive Number of Inefficient Server-Side Data Accesses
2019-01-03
00h00 +00:00
Incomplete
2026-10-28
00h00 +00:00
CWE Mitre.org
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Naam: Excessive Number of Inefficient Server-Side Data Accesses

The product performs too many data queries without using efficient data processing functionality such as stored procedures.

Algemene informatie

Introductiemodi

Implementation
Architecture and Design

Toepasselijke platforms

Taal

Klasse: Not Language-Specific (Undetermined)

Veelvoorkomende gevolgen

Bereik Impact Waarschijnlijkheid
OtherReduce Performance

Opmerking: This issue can make the product perform more slowly due to computational expense. If the relevant code is reachable by an attacker, then this performance problem might introduce a vulnerability.

Detectiemethoden

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.)
Effectiviteit : High

Notities kwetsbaarheidsmapping

Rechtvaardiging : This entry is primarily a quality issue with no direct security implications.
Opmerking : Look for weaknesses that are focused specifically on insecure behaviors that have more direct security implications.

Notities

While the interpretation of "too many data queries" may vary for each product or developer, CISQ recommends a default maximum of 5 data queries for an inefficient function/procedure. [REF-1133]

Referenties

REF-959

Automated Source Code Performance Efficiency Measure (ASCPEM)
Object Management Group (OMG).
https://www.omg.org/spec/ASCPEM/

REF-1133

Automated Source Code Quality Measures
Consortium for Information & Software Quality (CISQ).
https://www.omg.org/spec/ASCQM/

REF-1534

Automated Technical Debt Measure, Version 2
OMG.
https://www.omg.org/spec/ATDM2/1.0/PDF

Indiening

Naam Organisatie Datum Releasedatum Version
CWE Content Team MITRE 2018-07-02 +00:00 2019-01-03 +00:00 3.2

Wijzigingen

Naam Organisatie Datum Opmerking
CWE Content Team MITRE 2020-02-24 +00:00 updated Description, Relationships
CWE Content Team MITRE 2020-08-20 +00:00 updated Relationships
CWE Content Team MITRE 2023-01-31 +00:00 updated Description
CWE Content Team MITRE 2023-04-27 +00:00 updated References, Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2024-02-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2025-12-11 +00:00 updated Applicable_Platforms, Common_Consequences, Description, Time_of_Introduction
CWE Content Team MITRE 2026-10-28 +00:00 updated Description, Detection_Factors, References, Terminology_Notes
De informatie die op CVE Find wordt gepresenteerd, is afkomstig van verschillende zorgvuldig geselecteerde referentiebronnen. CVE-gegevens worden geleverd door MITRE Corporation en de National Vulnerability Database (NVD). De Known Exploited Vulnerabilities (KEV)-catalogus is afkomstig van de Cybersecurity and Infrastructure Security Agency (CISA), terwijl EPSS-scores afkomstig zijn van FIRST.org. Daarnaast worden gegevens over softwarezwakheden (CWE) en veelvoorkomende aanvalspatronen (CAPEC) bijgehouden door MITRE Corporation, en informatie over hardware- en softwareconfiguraties (CPE) wordt geleverd door de NVD.