CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.
CVE-2021-27472 (GCVE-0-2021-27472)
Vulnerability from cvelistv5 – Published: 2022-03-23 19:46 – Updated: 2025-04-16 16:39
VLAI
Title
Rockwell Automation FactoryTalk AssetCentre SQL Injection
Summary
A vulnerability exists in the RunSearch function of SearchService service in Rockwell Automation FactoryTalk AssetCentre v10.00 and earlier, which may allow for the execution of remote unauthenticated arbitrary SQL statements.
Severity
10 (Critical)
CWE
- CWE-89 - SQL Injection
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.cisa.gov/uscert/ics/advisories/icsa-2… | x_refsource_CONFIRM |
| https://idp.rockwellautomation.com/adfs/ls/idpini… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Rockwell Automation | FactoryTalk AssetCentre |
Affected:
unspecified , ≤ v10.00
(custom)
|
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CVE-2021-29089 (GCVE-0-2021-29089)
Vulnerability from cvelistv5 – Published: 2021-06-02 02:15 – Updated: 2024-09-16 21:04
VLAI
Summary
Improper neutralization of special elements used in an SQL command ('SQL Injection') vulnerability in thumbnail component in Synology Photo Station before 6.8.14-3500 allows remote attackers users to execute arbitrary SQL commands via unspecified vectors.
Severity
9.8 (Critical)
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.synology.com/security/advisory/Synolo… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Synology | Synology Photo Station |
Affected:
unspecified , < 6.8.14-3500
(custom)
|
Date Public
2021-06-02 00:00
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CVE-2021-29090 (GCVE-0-2021-29090)
Vulnerability from cvelistv5 – Published: 2021-06-02 02:00 – Updated: 2024-09-17 03:29
VLAI
Summary
Improper neutralization of special elements used in an SQL command ('SQL Injection') vulnerability in PHP component in Synology Photo Station before 6.8.14-3500 allows remote authenticated users to execute arbitrary SQL command via unspecified vectors.
Severity
7.2 (High)
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.synology.com/security/advisory/Synolo… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Synology | Synology Photo Station |
Affected:
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(custom)
|
Date Public
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CVE-2021-29099 (GCVE-0-2021-29099)
Vulnerability from cvelistv5 – Published: 2021-06-07 11:47 – Updated: 2025-04-10 15:01
VLAI
Title
There is a SQL injection vulnerability in ArcGIS Server
Summary
A SQL injection vulnerability exists in some configurations of ArcGIS Server versions 10.8.1 and earlier. Specially crafted web requests can expose information that is not intended to be disclosed (not customer datasets). Web Services that use file based data sources (file Geodatabase or Shape Files or tile cached services) are unaffected by this issue.
Severity
5.3 (Medium)
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.esri.com/arcgis-blog/products/arcgis-… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Esri | ArcGIS Server |
Affected:
10.8.1 , < 10.9.0
(custom)
|
Date Public
2021-06-04 00:00
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CVE-2021-29114 (GCVE-0-2021-29114)
Vulnerability from cvelistv5 – Published: 2021-12-07 10:51 – Updated: 2025-04-10 14:59
VLAI
Title
SQL injection vulnerability in ArcGIS Server
Summary
A SQL injection vulnerability in feature services provided by Esri ArcGIS Server 10.9 and below allows a remote, unauthenticated attacker to impact the confidentiality, integrity and availability of targeted services via specifically crafted queries.
Severity
7.3 (High)
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.esri.com/arcgis-blog/products/arcgis-… | x_refsource_CONFIRM |
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1 product
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|---|---|---|---|
| Esri | ArcGIS Server |
Affected:
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(custom)
|
Date Public
2021-12-06 00:00
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CVE-2021-31849 (GCVE-0-2021-31849)
Vulnerability from cvelistv5 – Published: 2021-11-01 19:25 – Updated: 2024-08-03 23:10
VLAI
Title
Data Loss Prevention (DLP) ePO extension - SQL injection
Summary
SQL injection vulnerability in McAfee Data Loss Prevention (DLP) ePO extension prior to 11.7.100 allows a remote attacker logged into ePO as an administrator to inject arbitrary SQL into the ePO database through the user management section of the DLP ePO extension.
Severity
8.4 (High)
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://kc.mcafee.com/corporate/index?page=conten… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| McAfee | Data Loss Prevention (DLP) ePO extension |
Affected:
unspecified , < 11.7.100
(custom)
Affected: unspecified , < 11.6.400 (custom) |
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CVE-2021-31867 (GCVE-0-2021-31867)
Vulnerability from cvelistv5 – Published: 2021-08-04 22:20 – Updated: 2024-09-16 17:34
VLAI
Title
Pimcore Customer Data Framework 'SegmentAssignmentController.php' Blind SQL Injection
Summary
Pimcore Customer Data Framework version 3.0.0 and earlier suffers from a Boolean-based blind SQL injection issue in the $id parameter of the SegmentAssignmentController.php component of the application. This issue was fixed in version 3.0.2 of the product.
Severity
6.5 (Medium)
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.rapid7.com/blog/post/2021/07/27/multi… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Pimcore | Pimcore Customer Data Framework |
Affected:
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(custom)
|
Date Public
2021-07-27 00:00
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CVE-2021-31869 (GCVE-0-2021-31869)
Vulnerability from cvelistv5 – Published: 2021-08-04 22:20 – Updated: 2024-09-17 02:27
VLAI
Title
Pimcore AdminBundle 'specificID' SQL Injection
Summary
Pimcore AdminBundle version 6.8.0 and earlier suffers from a SQL injection issue in the specificID variable used by the application. This issue was fixed in version 6.9.4 of the product.
Severity
6.5 (Medium)
CWE
- CWE-89 - SQL Injection
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://www.rapid7.com/blog/post/2021/07/27/multi… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Pimcore | Pimcore AdminBundle |
Affected:
6.8.0 , ≤ 6.8.0
(custom)
|
Date Public
2021-07-27 00:00
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CVE-2021-32474 (GCVE-0-2021-32474)
Vulnerability from cvelistv5 – Published: 2022-03-11 17:54 – Updated: 2024-08-03 23:17
VLAI
Summary
An SQL injection risk existed on sites with MNet enabled and configured, via an XML-RPC call from the connected peer host. Note that this required site administrator access or access to the keypair. Moodle 3.10 to 3.10.3, 3.9 to 3.9.6, 3.8 to 3.8.8, 3.5 to 3.5.17 and earlier unsupported versions are affected.
Severity
No CVSS data available.
CWE
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://moodle.org/mod/forum/discuss.php?d=422308 | x_refsource_MISC |
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CVE-2021-32704 (GCVE-0-2021-32704)
Vulnerability from cvelistv5 – Published: 2021-06-24 16:10 – Updated: 2024-08-03 23:25
VLAI
Title
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in dhis2-core
Summary
DHIS 2 is an information system for data capture, management, validation, analytics and visualization. A SQL injection security vulnerability has been found in specific versions of DHIS2. This vulnerability affects the /api/trackedEntityInstances API endpoint in DHIS2 versions 2.34.4, 2.35.2, 2.35.3, 2.35.4, and 2.36.0. Earlier versions, such as 2.34.3 and 2.35.1 and all versions 2.33 and older are unaffected. The system is vulnerable to attack only from users that are logged in to DHIS2, and there is no known way of exploiting the vulnerability without first being logged in as a DHIS2 user. A successful exploit of this vulnerability could allow the malicious user to read, edit and delete data in the DHIS2 instance. There are no known exploits of the security vulnerabilities addressed by these patch releases. However, we strongly recommend that all DHIS2 implementations using versions 2.34, 2.35 and 2.36 install these patches as soon as possible. There is no straightforward known workaround for DHIS2 instances using the Tracker functionality other than upgrading the affected DHIS2 server to one of the patches in which this vulnerability has been fixed. For implementations which do NOT use Tracker functionality, it may be possible to block all network access to POST to the /api/trackedEntityInstance endpoint as a temporary workaround while waiting to upgrade.
Severity
8.5 (High)
CWE
- CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/dhis2/dhis2-core/security/advi… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| dhis2 | dhis2-core |
Affected:
>= 2.34.4, < 2.34.5
Affected: >= 2.35.2, < 2.35.5 Affected: >= 2.36.0, < 2.36.1 |
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"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2021-32704",
"datePublished": "2021-06-24T16:10:10.000Z",
"dateReserved": "2021-05-12T00:00:00.000Z",
"dateUpdated": "2024-08-03T23:25:31.117Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
Mitigation ID: MIT-4
Phase: Architecture and Design
Strategy: Libraries or Frameworks
Description:
- Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid [REF-1482].
- For example, consider using persistence layers such as Hibernate or Enterprise Java Beans, which can provide significant protection against SQL injection if used properly.
Mitigation ID: MIT-27
Phase: Architecture and Design
Strategy: Parameterization
Description:
- If available, use structured mechanisms that automatically enforce the separation between data and code. These mechanisms may be able to provide the relevant quoting, encoding, and validation automatically, instead of relying on the developer to provide this capability at every point where output is generated.
- Process SQL queries using prepared statements, parameterized queries, or stored procedures. These features should accept parameters or variables and support strong typing. Do not dynamically construct and execute query strings within these features using "exec" or similar functionality, since this may re-introduce the possibility of SQL injection. [REF-867]
Mitigation ID: MIT-17
Phases: Architecture and Design, Operation
Strategy: Environment Hardening
Description:
- Run your code using the lowest privileges that are required to accomplish the necessary tasks [REF-76]. If possible, create isolated accounts with limited privileges that are only used for a single task. That way, a successful attack will not immediately give the attacker access to the rest of the software or its environment. For example, database applications rarely need to run as the database administrator, especially in day-to-day operations.
- Specifically, follow the principle of least privilege when creating user accounts to a SQL database. The database users should only have the minimum privileges necessary to use their account. If the requirements of the system indicate that a user can read and modify their own data, then limit their privileges so they cannot read/write others' data. Use the strictest permissions possible on all database objects, such as execute-only for stored procedures.
Mitigation ID: MIT-15
Phase: Architecture and Design
Description:
- For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
Mitigation ID: MIT-28
Phase: Implementation
Strategy: Output Encoding
Description:
- While it is risky to use dynamically-generated query strings, code, or commands that mix control and data together, sometimes it may be unavoidable. Properly quote arguments and escape any special characters within those arguments. The most conservative approach is to escape or filter all characters that do not pass an extremely strict allowlist (such as everything that is not alphanumeric or white space). If some special characters are still needed, such as white space, wrap each argument in quotes after the escaping/filtering step. Be careful of argument injection (CWE-88).
- Instead of building a new implementation, such features may be available in the database or programming language. For example, the Oracle DBMS_ASSERT package can check or enforce that parameters have certain properties that make them less vulnerable to SQL injection. For MySQL, the mysql_real_escape_string() API function is available in both C and PHP.
Mitigation ID: MIT-5
Phase: Implementation
Strategy: Input Validation
Description:
- Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does.
- When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue."
- Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
- When constructing SQL query strings, use stringent allowlists that limit the character set based on the expected value of the parameter in the request. This will indirectly limit the scope of an attack, but this technique is less important than proper output encoding and escaping.
- Note that proper output encoding, escaping, and quoting is the most effective solution for preventing SQL injection, although input validation may provide some defense-in-depth. This is because it effectively limits what will appear in output. Input validation will not always prevent SQL injection, especially if you are required to support free-form text fields that could contain arbitrary characters. For example, the name "O'Reilly" would likely pass the validation step, since it is a common last name in the English language. However, it cannot be directly inserted into the database because it contains the "'" apostrophe character, which would need to be escaped or otherwise handled. In this case, stripping the apostrophe might reduce the risk of SQL injection, but it would produce incorrect behavior because the wrong name would be recorded.
- When feasible, it may be safest to disallow meta-characters entirely, instead of escaping them. This will provide some defense in depth. After the data is entered into the database, later processes may neglect to escape meta-characters before use, and you may not have control over those processes.
Mitigation ID: MIT-21
Phase: Architecture and Design
Strategy: Enforcement by Conversion
Description:
- When the set of acceptable objects, such as filenames or URLs, is limited or known, create a mapping from a set of fixed input values (such as numeric IDs) to the actual filenames or URLs, and reject all other inputs.
Mitigation ID: MIT-39
Phase: Implementation
Description:
- Ensure that error messages only contain minimal details that are useful to the intended audience and no one else. The messages need to strike the balance between being too cryptic (which can confuse users) or being too detailed (which may reveal more than intended). The messages should not reveal the methods that were used to determine the error. Attackers can use detailed information to refine or optimize their original attack, thereby increasing their chances of success.
- If errors must be captured in some detail, record them in log messages, but consider what could occur if the log messages can be viewed by attackers. Highly sensitive information such as passwords should never be saved to log files.
- Avoid inconsistent messaging that might accidentally tip off an attacker about internal state, such as whether a user account exists or not.
- In the context of SQL Injection, error messages revealing the structure of a SQL query can help attackers tailor successful attack strings.
Mitigation ID: MIT-29
Phase: Operation
Strategy: Firewall
Description:
- Use an application firewall that can detect attacks against this weakness. It can be beneficial in cases in which the code cannot be fixed (because it is controlled by a third party), as an emergency prevention measure while more comprehensive software assurance measures are applied, or to provide defense in depth [REF-1481.
Mitigation ID: MIT-16
Phases: Operation, Implementation
Strategy: Environment Hardening
Description:
- When using PHP, configure the application so that it does not use register_globals. During implementation, develop the application so that it does not rely on this feature, but be wary of implementing a register_globals emulation that is subject to weaknesses such as CWE-95, CWE-621, and similar issues.
CAPEC-108: 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.
CAPEC-109: 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 their 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.
CAPEC-110: 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.
CAPEC-470: 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.
CAPEC-66: 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.
CAPEC-7: Blind SQL Injection
Blind SQL Injection results from an insufficient mitigation for SQL Injection. Although suppressing database error messages are considered best practice, the suppression alone is not sufficient to prevent SQL Injection. Blind SQL Injection is a form of SQL Injection that overcomes the lack of error messages. Without the error messages that facilitate SQL Injection, the adversary constructs input strings that probe the target through simple Boolean SQL expressions. The adversary can determine if the syntax and structure of the injection was successful based on whether the query was executed or not. Applied iteratively, the adversary determines how and where the target is vulnerable to SQL Injection.