Détail du CWE-202

CWE-202

Exposure of Sensitive Information Through Data Queries
Moyen
Draft
2006-07-19
00h00 +00:00
2025-12-11
00h00 +00:00
CWE Mitre.org
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Nom: Exposure of Sensitive Information Through Data Queries

When trying to keep information confidential, an attacker can often infer some of the information by using statistics.

Description du CWE

In situations where data should not be tied to individual users, but a large number of users should be able to make queries that "scrub" the identity of users, it may be possible to get information about a user -- e.g., by specifying search terms that are known to be unique to that user.

Informations générales

Modes d'introduction

Architecture and Design
Implementation

Plateformes applicables

Langue

Class: Not Language-Specific (Undetermined)

Conséquences courantes

Portée Impact Probabilité
ConfidentialityRead Files or Directories, Read Application Data

Note: Sensitive information may possibly be leaked through data queries accidentally.

Exemples observés

Références Description

CVE-2022-41935

Wiki product allows an adversary to discover filenames via a series of queries starting with one letter and then iteratively extending the match.

Mesures d’atténuation potentielles

Phases : Architecture and Design
This is a complex topic. See the [REF-1492] for a good discussion of best practices.

Notes de cartographie des vulnérabilités

Justification : This CWE entry is at the Base level of abstraction, which is a preferred level of abstraction for mapping to the root causes of vulnerabilities.
Commentaire : Carefully read both the name and description to ensure that this mapping is an appropriate fit. Do not try to 'force' a mapping to a lower-level Base/Variant simply to comply with this preferred level of abstraction.

Notes


Références

REF-18

The CLASP Application Security Process
Secure Software, Inc..
https://cwe.mitre.org/documents/sources/TheCLASPApplicationSecurityProcess.pdf

REF-1492

Translucent Databases
Peter Wayner.
https://www.wayner.org/books/td

Soumission

Nom Organisation Date Date de publication Version
CLASP 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

Modifications

Nom Organisation Date Commentaire
Eric Dalci Cigital 2008-07-01 +00:00 updated Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Common_Consequences, Description, Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2011-03-29 +00:00 updated Name
CWE Content Team MITRE 2011-06-01 +00:00 updated Common_Consequences
CWE Content Team MITRE 2012-05-11 +00:00 updated Related_Attack_Patterns, Relationships
CWE Content Team MITRE 2013-02-21 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships
CWE Content Team MITRE 2017-05-03 +00:00 updated Related_Attack_Patterns
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms
CWE Content Team MITRE 2020-02-24 +00:00 updated Maintenance_Notes, Name, References, Relationships
CWE Content Team MITRE 2023-04-27 +00:00 updated Relationships, Type
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2023-10-26 +00:00 updated Observed_Examples
CWE Content Team MITRE 2025-12-11 +00:00 updated Demonstrative_Examples, Potential_Mitigations, References, Weakness_Ordinalities
Les informations affichées sur CVE Find proviennent de plusieurs sources de référence rigoureusement sélectionnées. Les données CVE sont fournies par MITRE Corporation et la National Vulnerability Database (NVD). Le catalogue des vulnérabilités activement exploitées (KEV) provient de la Cybersecurity and Infrastructure Security Agency (CISA), tandis que les scores EPSS sont issus de FIRST.org. Enfin, les données relatives aux faiblesses logicielles (CWE) et aux schémas d'attaque courants (CAPEC) sont maintenues par MITRE Corporation, et les informations sur les configurations logicielles et matérielles (CPE) proviennent du NVD.