An issue was discovered in djangoproject's django versions 5.1 before 5.1.14, 4.2 before 4.2.26, and 5.2 before 5.2.8. The methods `QuerySet.filter()`, `QuerySet.exclude()`, and `QuerySet.get()`, as well as the class `Q()`, are subject to SQL injection when using a suitably crafted dictionary, with dictionary expansion, as the `_connector` argument. This vulnerability allows attackers to manipulate SQL queries, leading to unauthorized access to sensitive data.
The severity level of this vulnerability is classified as critical, with a CVSS score of 9.1. This high score indicates that the vulnerability can be exploited easily over the network without requiring authentication, making it a significant risk for organizations relying on affected versions of django. Organizations should prioritize patching immediately.
Risk to organizations includes potential database manipulation and unauthorized data access. The attacker may leverage this vulnerability to execute arbitrary SQL code, which can lead to severe data breaches or system compromises. Given the critical nature of the vulnerability, organizations must address this issue as part of their priority patch cycle.
Currently, there are known exploits available for this vulnerability. Organizations using affected versions should take immediate action to mitigate risks associated with this vulnerability.
Vulnerability Details
The vulnerability allows attackers to manipulate SQL queries through the `QuerySet` methods and `Q()` class. The affected versions are 5.1 before 5.1.14, 4.2 before 4.2.26, and 5.2 before 5.2.8. The exploitation of this vulnerability can lead to severe consequences, including unauthorized data access and manipulation.
Technical Analysis
The root cause of this vulnerability lies in the improper handling of user-supplied input in SQL query construction. The attack vector is network-based, allowing remote attackers to exploit the vulnerability without requiring any privileges or user interaction. The attack complexity is low, making it feasible for attackers to successfully exploit this flaw. The impact on confidentiality and integrity is high, as attackers can potentially alter database contents or extract sensitive information. However, there is no impact on availability.
Risk & Impact Analysis
Organizations deploying the vulnerable versions of django face significant risks. The potential for data breaches and unauthorized access to sensitive information poses a serious threat to the integrity of organizational data. The blast radius from such an exploitation could affect multiple applications and databases, leading to widespread data compromise.
Given the critical CVSS score and the availability of known exploits, organizations should prioritize remediation efforts immediately. The urgency is compounded by the fact that this vulnerability can be exploited with low complexity, making it accessible for a wide range of attackers.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerable versions include django 5.1 before 5.1.14, 4.2 before 4.2.26, and 5.2 before 5.2.8. All versions prior to vendor patch should be considered vulnerable.
Mitigation & Remediation
Organizations should apply the latest patches to remediate this critical vulnerability. Upgrade to django versions 5.1.14, 4.2.26, or 5.2.8 to mitigate the risk. Workarounds include validating and sanitizing user inputs to prevent SQL injection payloads. Furthermore, organizations should consider implementing network controls to restrict access to their applications.
For comprehensive security, organizations may engage in penetration testing to evaluate their security posture against potential SQL injection attacks.
Detection Guidance
To detect potential exploitation of this vulnerability, organizations should monitor logs for unusual query patterns and errors related to SQL execution. Behavioral anomalies in database access should also be investigated. Implement network signatures to identify and block malicious traffic attempting to exploit this vulnerability.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2025-64459 highlights the importance of secure coding practices in framework development. This vulnerability demonstrates how input handling flaws can lead to critical security risks, urging security teams to prioritize code reviews and vulnerability assessments regularly.
Organizations should enhance their security measures through a robust penetration testing methodology and implement a comprehensive vulnerability management program to proactively address security weaknesses in their applications.
The trends represented by this vulnerability emphasize the necessity for continuous security assessments and the adoption of secure coding practices across development teams.
For further insights, organizations can explore resources on API security testing and implement best practices to safeguard their applications against vulnerabilities like CVE-2025-64459.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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