
Cloud Vulnerability DB
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A security vulnerability was discovered in doctrine/doctrine-module affecting versions below 0.7.2, identified as GHSA-9wv8-3h8h-x2wc. The vulnerability, discovered on May 16, 2013, allows attackers to potentially obtain a valid Zend\Authentication identity without knowing the user's credentials by exploiting zero-valued password credentials in DoctrineModule\Authentication\Adapter\ObjectRepository (GitHub Advisory).
The vulnerability stems from a flaw in how authentication credentials are compared in DoctrineModule\Authentication\Adapter\ObjectRepository. When using numerically valued credentials, the system performs loose type comparison instead of strict comparison, allowing unauthorized authentication. The vulnerability has been assigned a CVSS v3.1 score of 6.5 (Moderate), with the vector string CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:N (GitHub Advisory).
The vulnerability allows attackers to authenticate against an application using numeric credential values without knowing the actual password. This could lead to unauthorized access to user accounts, particularly in cases where password hashes in the database could be numerically cast (Doctrine Issue).
The vulnerability can be exploited by setting numeric credential values in the authentication adapter. For example, if a user has a password hash '00000' in the database, authentication could be achieved by using '0' as the credential value, bypassing the normal authentication process (Doctrine Issue).
Users are advised to upgrade to doctrine/doctrine-module version 0.7.2 or later, which includes the security fix. The fix was implemented by changing the credential comparison from loose type comparison to strict comparison. The patch was released on May 16, 2013 (GitHub Advisory).
The vulnerability was discovered by community member @atans and quickly addressed with a fix developed by @bakura10. The Doctrine project team responded promptly by releasing a patched version, demonstrating their commitment to security (Doctrine Issue).
Source: This report was generated using AI
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