CVE-2008-7310 in Spreeinfo

Summary

by MITRE

Spree 0.2.0 does not properly restrict the use of a hash to provide values for a model s attributes, which allows remote attackers to set the Order state value and bypass the intended payment step via a modified URL, related to a "mass assignment" vulnerability.

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Analysis

by VulDB Data Team • 02/16/2019

The vulnerability identified as CVE-2008-7310 represents a critical mass assignment flaw in the Spree e-commerce platform version 0.2.0. This vulnerability stems from inadequate input validation and improper attribute restriction mechanisms within the application's model handling code. The flaw allows remote attackers to manipulate model attributes through crafted hash parameters, specifically targeting the Order state value that controls the payment workflow. The vulnerability is classified under CWE-917, which addresses improper restriction of operations within a recognized attribute. This mass assignment vulnerability occurs when the application fails to explicitly define which attributes can be mass-assigned from user input, creating a pathway for attackers to bypass intended business logic controls.

The technical exploitation of this vulnerability involves modifying URL parameters to include hash values that correspond to model attributes. In the context of Spree's Order model, attackers can manipulate the state attribute through URL manipulation, effectively allowing them to skip the payment step in the checkout process. This occurs because the application does not properly sanitize or restrict the attributes that can be set through mass assignment operations. The vulnerability is particularly dangerous because it directly impacts the payment workflow and order processing, potentially allowing unauthorized access to products without payment. The flaw demonstrates a fundamental lack of proper access control and input validation that violates core security principles for web application development.

The operational impact of this vulnerability extends beyond simple unauthorized access to potentially significant financial losses for e-commerce platforms using affected versions of Spree. Attackers can exploit this flaw to bypass payment processing entirely, leading to unauthorized product purchases and revenue loss. The vulnerability affects the entire order management workflow by allowing manipulation of critical state variables that control business logic transitions. Organizations using Spree 0.2.0 face the risk of complete payment fraud, as the attacker can manipulate the order state to bypass all payment-related checks and validations. This vulnerability also impacts the integrity of the application's business logic, as it allows unauthorized modification of order status and payment completion states.

Mitigation strategies for this vulnerability require immediate implementation of proper attribute restriction mechanisms within the Spree application. The recommended approach involves implementing explicit attribute whitelisting for mass assignment operations, ensuring that only intended attributes can be modified through user input. Organizations should update to patched versions of Spree that address this mass assignment vulnerability and implement proper input validation at multiple layers of the application. The solution aligns with ATT&CK technique T1078 which covers valid accounts and privilege escalation, as the vulnerability allows unauthorized manipulation of application state through legitimate user interface interactions. Security measures should include comprehensive testing of mass assignment functionality and implementation of automated security scanning tools to identify similar vulnerabilities in other application components. Additionally, organizations should establish proper security review processes for all attribute handling operations and implement logging mechanisms to detect unauthorized attribute modifications.

Reservation

04/04/2012

Disclosure

04/05/2012

Moderation

accepted

Entry

VDB-60549

CPE

ready

EPSS

0.00158

KEV

no

Activities

very low

Sources

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