CWE-488 Detail

CWE-488

Exposure of Data Element to Wrong Session
Draft
2006-07-19
00h00 +00:00
2025-12-11
00h00 +00:00
CWE Mitre.org
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Rimani informato su qualsiasi modifica relativa a un CWE specifico.
Gestione notifiche

Nome: Exposure of Data Element to Wrong Session

The product does not sufficiently enforce boundaries between the states of different sessions, causing data to be provided to, or used by, the wrong session.

General Informations

Modes Of Introduction

Implementation : REALIZATION: This weakness is caused during implementation of an architectural security tactic.

Piattaforme applicabili

Linguaggio

Class: Not Language-Specific (Undetermined)

Conseguenze comuni

Ambito Impatto Probabilità
ConfidentialityRead Application Data

Potential Mitigations

Phases : Architecture and Design
Protect the application's sessions from information leakage. Make sure that a session's data is not used or visible by other sessions.
Phases : Testing
Use a static analysis tool to scan the code for information leakage vulnerabilities (e.g. Singleton Member Field).
Phases : Architecture and Design
In a multithreading environment, storing user data in Servlet member fields introduces a data access race condition. Do not use member fields to store information in the Servlet.

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.)
Effectiveness : High

Note sulla mappatura delle vulnerabilità

Giustificazione : 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.
Commento : 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.

Pattern di attacco correlati

CAPEC-ID Nome del pattern di attacco
CAPEC-59 Session Credential Falsification through Prediction
This attack targets predictable session ID in order to gain privileges. The attacker can predict the session ID used during a transaction to perform spoofing and session hijacking.
CAPEC-60 Reusing Session IDs (aka Session Replay)
This attack targets the reuse of valid session ID to spoof the target system in order to gain privileges. The attacker tries to reuse a stolen session ID used previously during a transaction to perform spoofing and session hijacking. Another name for this type of attack is Session Replay.

Riferimenti

REF-6

Seven Pernicious Kingdoms: A Taxonomy of Software Security Errors
Katrina Tsipenyuk, Brian Chess, Gary McGraw.
https://samate.nist.gov/SSATTM_Content/papers/Seven%20Pernicious%20Kingdoms%20-%20Taxonomy%20of%20Sw%20Security%20Errors%20-%20Tsipenyuk%20-%20Chess%20-%20McGraw.pdf

Invio

Nome Organizzazione Data Data di rilascio Version
7 Pernicious Kingdoms 2006-07-19 +00:00 2006-07-19 +00:00 Draft 3

Modifiche

Nome Organizzazione Data Commento
Eric Dalci Cigital 2008-07-01 +00:00 updated Potential_Mitigations, Time_of_Introduction
CWE Content Team MITRE 2008-09-08 +00:00 updated Description, Relationships, Other_Notes, Taxonomy_Mappings
CWE Content Team MITRE 2009-05-27 +00:00 updated Demonstrative_Examples
CWE Content Team MITRE 2009-10-29 +00:00 updated Description, Other_Notes
CWE Content Team MITRE 2010-09-27 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2010-12-13 +00:00 updated Relationships
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 2011-09-13 +00:00 updated Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2012-05-11 +00:00 updated Relationships
CWE Content Team MITRE 2012-10-30 +00:00 updated Potential_Mitigations
CWE Content Team MITRE 2014-07-30 +00:00 updated Relationships
CWE Content Team MITRE 2017-11-08 +00:00 updated Applicable_Platforms, Modes_of_Introduction, Relationships, Taxonomy_Mappings
CWE Content Team MITRE 2020-02-24 +00:00 updated References, Relationships, Type
CWE Content Team MITRE 2021-03-15 +00:00 updated Relationships
CWE Content Team MITRE 2023-04-27 +00:00 updated Detection_Factors, Relationships
CWE Content Team MITRE 2023-06-29 +00:00 updated Mapping_Notes
CWE Content Team MITRE 2025-12-11 +00:00 updated Weakness_Ordinalities
Le informazioni presentate su CVE Find provengono da diverse fonti di riferimento attentamente selezionate. I dati CVE sono forniti da MITRE Corporation e dal National Vulnerability Database (NVD). Il catalogo delle vulnerabilità sfruttate conosciute (KEV) proviene dalla Cybersecurity and Infrastructure Security Agency (CISA), mentre i punteggi EPSS provengono da FIRST.org. Inoltre, i dati relativi alle vulnerabilità software (CWE) e ai pattern di attacco comuni (CAPEC) sono mantenuti da MITRE Corporation, e le informazioni sulle configurazioni hardware e software (CPE) sono fornite da NVD.