Vulnerabilities > CVE-2020-9402 - SQL Injection vulnerability in multiple products
Attack vector
NETWORK Attack complexity
LOW Privileges required
LOW Confidentiality impact
HIGH Integrity impact
HIGH Availability impact
HIGH Summary
Django 1.11 before 1.11.29, 2.2 before 2.2.11, and 3.0 before 3.0.4 allows SQL Injection if untrusted data is used as a tolerance parameter in GIS functions and aggregates on Oracle. By passing a suitably crafted tolerance to GIS functions and aggregates on Oracle, it was possible to break escaping and inject malicious SQL.
Vulnerable Configurations
Common Weakness Enumeration (CWE)
Common Attack Pattern Enumeration and Classification (CAPEC)
- Command Line Execution through SQL Injection An attacker uses standard SQL injection methods to inject data into the command line for execution. This could be done directly through misuse of directives such as MSSQL_xp_cmdshell or indirectly through injection of data into the database that would be interpreted as shell commands. Sometime later, an unscrupulous backend application (or could be part of the functionality of the same application) fetches the injected data stored in the database and uses this data as command line arguments without performing proper validation. The malicious data escapes that data plane by spawning new commands to be executed on the host.
- Object Relational Mapping Injection An attacker leverages a weakness present in the database access layer code generated with an Object Relational Mapping (ORM) tool or a weakness in the way that a developer used a persistence framework to inject his or her own SQL commands to be executed against the underlying database. The attack here is similar to plain SQL injection, except that the application does not use JDBC to directly talk to the database, but instead it uses a data access layer generated by an ORM tool or framework (e.g. Hibernate). While most of the time code generated by an ORM tool contains safe access methods that are immune to SQL injection, sometimes either due to some weakness in the generated code or due to the fact that the developer failed to use the generated access methods properly, SQL injection is still possible.
- SQL Injection through SOAP Parameter Tampering An attacker modifies the parameters of the SOAP message that is sent from the service consumer to the service provider to initiate a SQL injection attack. On the service provider side, the SOAP message is parsed and parameters are not properly validated before being used to access a database in a way that does not use parameter binding, thus enabling the attacker to control the structure of the executed SQL query. This pattern describes a SQL injection attack with the delivery mechanism being a SOAP message.
- Expanding Control over the Operating System from the Database An attacker is able to leverage access gained to the database to read / write data to the file system, compromise the operating system, create a tunnel for accessing the host machine, and use this access to potentially attack other machines on the same network as the database machine. Traditionally SQL injections attacks are viewed as a way to gain unauthorized read access to the data stored in the database, modify the data in the database, delete the data, etc. However, almost every data base management system (DBMS) system includes facilities that if compromised allow an attacker complete access to the file system, operating system, and full access to the host running the database. The attacker can then use this privileged access to launch subsequent attacks. These facilities include dropping into a command shell, creating user defined functions that can call system level libraries present on the host machine, stored procedures, etc.
- SQL Injection This attack exploits target software that constructs SQL statements based on user input. An attacker crafts input strings so that when the target software constructs SQL statements based on the input, the resulting SQL statement performs actions other than those the application intended. SQL Injection results from failure of the application to appropriately validate input. When specially crafted user-controlled input consisting of SQL syntax is used without proper validation as part of SQL queries, it is possible to glean information from the database in ways not envisaged during application design. Depending upon the database and the design of the application, it may also be possible to leverage injection to have the database execute system-related commands of the attackers' choice. SQL Injection enables an attacker to talk directly to the database, thus bypassing the application completely. Successful injection can cause information disclosure as well as ability to add or modify data in the database. In order to successfully inject SQL and retrieve information from a database, an attacker:
Nessus
NASL family Ubuntu Local Security Checks NASL id UBUNTU_USN-4296-1.NASL description Norbert Szetei discovered that Django incorrectly handled the GIS functions and aggregates on Oracle. A remote attacker could possibly use this issue to perform a SQL injection attack. Note that Tenable Network Security has extracted the preceding description block directly from the Ubuntu security advisory. Tenable has attempted to automatically clean and format it as much as possible without introducing additional issues. last seen 2020-03-18 modified 2020-03-06 plugin id 134301 published 2020-03-06 reporter Ubuntu Security Notice (C) 2020 Canonical, Inc. / NASL script (C) 2020 and is owned by Tenable, Inc. or an Affiliate thereof. source https://www.tenable.com/plugins/nessus/134301 title Ubuntu 16.04 LTS / 18.04 LTS / 19.10 : python-django vulnerability (USN-4296-1) NASL family Gentoo Local Security Checks NASL id GENTOO_GLSA-202004-17.NASL description The remote host is affected by the vulnerability described in GLSA-202004-17 (Django: Multiple vulnerabilities) Multiple vulnerabilities have been discovered in Django. Please review the CVE identifiers referenced below for details. Impact : A remote attacker, by sending specially crafted input, could possibly cause a Denial of Service condition, or alter the database. Workaround : There is no known workaround at this time. last seen 2020-05-08 modified 2020-05-01 plugin id 136216 published 2020-05-01 reporter This script is Copyright (C) 2020 and is owned by Tenable, Inc. or an Affiliate thereof. source https://www.tenable.com/plugins/nessus/136216 title GLSA-202004-17 : Django: Multiple vulnerabilities NASL family FreeBSD Local Security Checks NASL id FREEBSD_PKG_1685144E63FF11EAA93A080027846A02.NASL description MITRE CVE reports : Django 1.11 before 1.11.29, 2.2 before 2.2.11, and 3.0 before 3.0.4 allows SQL Injection if untrusted data is used as a tolerance parameter in GIS functions and aggregates on Oracle. By passing a suitably crafted tolerance to GIS functions and aggregates on Oracle, it was possible to break escaping and inject malicious SQL. last seen 2020-03-18 modified 2020-03-12 plugin id 134437 published 2020-03-12 reporter This script is Copyright (C) 2020 and is owned by Tenable, Inc. or an Affiliate thereof. source https://www.tenable.com/plugins/nessus/134437 title FreeBSD : Django -- potential SQL injection vulnerability (1685144e-63ff-11ea-a93a-080027846a02)
References
- https://www.djangoproject.com/weblog/2020/mar/04/security-releases/
- https://docs.djangoproject.com/en/3.0/releases/security/
- https://usn.ubuntu.com/4296-1/
- https://security.netapp.com/advisory/ntap-20200327-0004/
- https://security.gentoo.org/glsa/202004-17
- https://www.debian.org/security/2020/dsa-4705
- https://lists.debian.org/debian-lts-announce/2022/05/msg00035.html
- https://groups.google.com/forum/#%21topic/django-announce/fLUh_pOaKrY
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/4A2AP4T7RKPBCLTI2NNQG3T6MINDUUMZ/
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/UZMN2NKAGTFE3YKMNM2JVJG7R2W7LLHY/