Common Weakness Enumeration

CWE-89

Allowed

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Abstraction: Base · Status: Stable

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.

29430 vulnerabilities reference this CWE, most recent first.

CVE-2026-61955 (GCVE-0-2026-61955)

Vulnerability from cvelistv5 – Published: 2026-07-13 08:41 – Updated: 2026-07-13 13:14

Title

WordPress گرویتی فرم فارسی plugin <= 3.0.2 - SQL Injection vulnerability

Summary

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in Hannan گرویتی فرم فارسی persian-gravity-forms allows Blind SQL Injection.This issue affects گرویتی فرم فارسی: from n/a through <= 3.0.2.

Severity

7.6 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:N/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-13 13:14 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

Patchstack mitre root Scorecard

References

1 reference

URL	Tags
https://patchstack.com/database/Wordpress/Plugin/…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
Hannan	گرویتی فرم فارسی	Affected: 0 , ≤ 3.0.2 (custom)

Date Public

2026-07-13 10:40

Credits

Ananda Dhakal (Patchstack)

Show details on NVD website

JSON

To clipboard

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CVE-2026-61950 (GCVE-0-2026-61950)

Vulnerability from cvelistv5 – Published: 2026-07-23 11:18 – Updated: 2026-07-23 14:52

Title

WordPress TrueBooker plugin <= 1.2.3 - SQL Injection vulnerability

Summary

Unauthenticated SQL Injection in TrueBooker <= 1.2.3 versions.

Severity

9.3 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 14:10 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

Patchstack mitre root Scorecard

References

1 reference

URL	Tags
https://patchstack.com/database/wordpress/plugin/…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
themetechmount	TrueBooker	Affected: n/a , ≤ 1.2.3 (custom)

Credits

HaiND | Patchstack Bug Bounty Program

Show details on NVD website

JSON

To clipboard

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CVE-2026-61949 (GCVE-0-2026-61949)

Vulnerability from cvelistv5 – Published: 2026-07-23 11:18 – Updated: 2026-07-23 15:59

Title

WordPress Bookly plugin <= 27.7 - SQL Injection vulnerability

Summary

Unauthenticated SQL Injection in Bookly <= 27.7 versions.

Severity

9.3 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 15:59 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

Patchstack mitre root Scorecard

References

1 reference

URL	Tags
https://patchstack.com/database/wordpress/plugin/…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
Bookly	Bookly	Affected: n/a , ≤ 27.7 (custom)

Credits

dodoh4t | Patchstack Bug Bounty Program

Show details on NVD website

JSON

To clipboard

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CVE-2026-61948 (GCVE-0-2026-61948)

Vulnerability from cvelistv5 – Published: 2026-07-23 11:18 – Updated: 2026-07-23 14:27

Title

WordPress WPDM – Premium Packages plugin <= 6.2.0 - SQL Injection vulnerability

Summary

Unauthenticated SQL Injection in WPDM – Premium Packages <= 6.2.0 versions.

Severity

9.3 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-23 14:27 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

Patchstack mitre root Scorecard

References

1 reference

URL	Tags
https://patchstack.com/database/wordpress/plugin/…	vdb-entry

Impacted products

1 product

Vendor	Product	Version
Shahjada	WPDM – Premium Packages	Affected: n/a , ≤ 6.2.0 (custom)

Credits

HieuPenguinnn | Patchstack Bug Bounty Program

Show details on NVD website

JSON

To clipboard

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CVE-2026-61852 (GCVE-0-2026-61852)

Vulnerability from cvelistv5 – Published: 2026-09-21 21:39 – Updated: 2026-09-24 22:51

Title

Chartbrew: SQL Injection via row_limit Parameter in AI runQuery Tool

Summary

Chartbrew is an open-source web application that can connect directly to databases and APIs and use the data to create charts. Prior to 5.2.2, Chartbrew's runQuery() implementation in server/modules/ai/orchestrator/tools/runQuery.js interpolates the AI tool's row_limit parameter into a SQL LIMIT clause without runtime integer validation. The read-only keyword check runs before this value is appended, so an authenticated user who can influence a model-generated non-integer row_limit can add SQL that bypasses the earlier check. Successful exploitation can execute arbitrary statements against the connected database, including reading or changing data and, where database permissions permit, accessing files or executing operating-system commands. This issue is fixed in version 5.2.2.

Severity

5.8 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-24 22:51 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/chartbrew/chartbrew/security/a…	x_refsource_CONFIRM
https://github.com/chartbrew/chartbrew/commit/8c8…	x_refsource_MISC
https://github.com/chartbrew/chartbrew/releases/t…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
chartbrew	chartbrew	Affected: < 5.2.2

Show details on NVD website

JSON

To clipboard

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CVE-2026-61820 (GCVE-0-2026-61820)

Vulnerability from cvelistv5 – Published: 2026-09-18 19:49 – Updated: 2026-09-22 15:39

Title

pg_partman privilege escalation via SQL injection when inheriting template properties

Summary

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, inherit_template_properties() manually surrounds primary-key column names from pg_attribute.attname with double quotes without escaping embedded double-quote characters. A partman_user who owns a template table can create a crafted column name that breaks out of the generated ALTER TABLE ADD PRIMARY KEY identifier when the background worker applies the key to a child partition. The generated SQL then executes with pg_partman_bgw.role privileges, which default to PostgreSQL superuser, permitting database-wide compromise and operating-system command execution as the PostgreSQL service account. The crafted catalog identifier persists until removed and can trigger again during later partition creation. This issue is fixed in version 5.5.0.

Severity

8.5 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-22 15:39 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pgpartman/pg_partman/security/…	x_refsource_CONFIRM
https://github.com/pgpartman/pg_partman/commit/ba…	x_refsource_MISC
https://github.com/pgpartman/pg_partman/releases/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pgpartman	pg_partman	Affected: < 5.5.0

Show details on NVD website

JSON

To clipboard

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CVE-2026-61819 (GCVE-0-2026-61819)

Vulnerability from cvelistv5 – Published: 2026-09-18 19:50 – Updated: 2026-09-18 20:17

Title

pg_partman privilege escalation via SQL injection in when using pg_jobmon and encountering exception

Summary

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, when pg_jobmon is installed and part_config.jobmon is true, exception handlers in multiple pg_partman functions place p_parent_table verbatim inside a SQL string literal used to call pg_jobmon.add_job(). A partman_user can create a parent-table name containing a single quote that terminates the literal and injects SQL when an affected exception path runs. If pg_partman_bgw reaches that path, the injected SQL executes with pg_partman_bgw.role privileges, which default to PostgreSQL superuser, permitting database-wide compromise and operating-system command execution as the PostgreSQL service account. The persistent part_config row can trigger the escalation again on later maintenance ticks. This issue is fixed in version 5.5.0.

Severity

8.5 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-18 20:17 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pgpartman/pg_partman/security/…	x_refsource_CONFIRM
https://github.com/pgpartman/pg_partman/commit/ba…	x_refsource_MISC
https://github.com/pgpartman/pg_partman/releases/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pgpartman	pg_partman	Affected: < 5.5.0

Show details on NVD website

JSON

To clipboard

{
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CVE-2026-61818 (GCVE-0-2026-61818)

Vulnerability from cvelistv5 – Published: 2026-09-18 19:47 – Updated: 2026-09-19 14:11

Title

pg_partman SQL injection in undo partition time encoder

Summary

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, undo_partition() reads part_config.time_encoder as unrestricted text and interpolates it without identifier quoting into a dynamically executed SELECT statement. A role with partman_user access can store SQL rather than a function name, and the SQL executes with the privileges of the caller that invokes undo_partition(). The function is not part of the default background-worker path, which limits the automatic superuser escalation described by the related create-partition vulnerability, but a privileged caller can still have its available confidentiality, integrity, and availability permissions abused. This issue is fixed in version 5.5.0.

Severity

8.5 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-19 13:37 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pgpartman/pg_partman/security/…	x_refsource_CONFIRM
https://github.com/pgpartman/pg_partman/commit/ba…	x_refsource_MISC
https://github.com/pgpartman/pg_partman/releases/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pgpartman	pg_partman	Affected: < 5.5.0

Show details on NVD website

JSON

To clipboard

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CVE-2026-61817 (GCVE-0-2026-61817)

Vulnerability from cvelistv5 – Published: 2026-09-18 19:48 – Updated: 2026-09-19 14:11

Title

pg_partman privilege escalation via SQL injection in several functions via time decoder

Summary

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, run_maintenance(), show_partitions(), show_partition_info(), undo_partition(), and partition_data_time() interpolate the writable part_config.time_dncoder text value without identifier quoting into dynamic SQL. A role with the documented partman_user privileges can store SQL rather than a decoder function name. When an affected operation later uses the poisoned value, including pg_partman_bgw maintenance for a text- or UUID-keyed set, the SQL executes with the operation's privileges, which can be the default PostgreSQL superuser background-worker role. The persistent row can restore elevated access on later ticks, and successful exploitation can permit database-wide compromise and operating-system command execution as the PostgreSQL service account. This issue is fixed in version 5.5.0.

Severity

8.5 (High)


                        
                          CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-19 13:37 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pgpartman/pg_partman/security/…	x_refsource_CONFIRM
https://github.com/pgpartman/pg_partman/commit/ba…	x_refsource_MISC
https://github.com/pgpartman/pg_partman/releases/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pgpartman	pg_partman	Affected: < 5.5.0

Show details on NVD website

JSON

To clipboard

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CVE-2026-61781 (GCVE-0-2026-61781)

Vulnerability from cvelistv5 – Published: 2026-09-18 19:44 – Updated: 2026-09-18 20:16

Title

pg_partman has privilege escalation through SQL injection in create_partition_time()

Summary

pg_partman is a PostgreSQL extension that manages partitioned tables by time or ID. Prior to 5.5.0, create_partition_time() reads the writable part_config.time_encoder text value and interpolates it without identifier quoting into a dynamically executed SELECT statement. A role with the documented partman_user INSERT and UPDATE privileges can store SQL rather than a function name. When pg_partman_bgw later creates a child partition for a text- or UUID-keyed set, the worker executes the stored SQL with pg_partman_bgw.role privileges, which default to PostgreSQL superuser. The persistent configuration row can repeatedly restore elevated access on later maintenance ticks, and successful exploitation can permit database-wide compromise and operating-system command execution as the PostgreSQL service account. This issue is fixed in version 5.5.0.

Severity

9.9 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-09-18 20:16 UTC

CWE

CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
CWE-269 - Improper Privilege Management

Assigner

GitHub_M mitre root Scorecard

References

3 references

URL	Tags
https://github.com/pgpartman/pg_partman/security/…	x_refsource_CONFIRM
https://github.com/pgpartman/pg_partman/commit/ba…	x_refsource_MISC
https://github.com/pgpartman/pg_partman/releases/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
pgpartman	pg_partman	Affected: < 5.5.0

Show details on NVD website

JSON

To clipboard

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Mitigation MIT-4

Architecture and Design

Strategy: Libraries or Frameworks

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 MIT-27

Architecture and Design

Strategy: Parameterization

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 MIT-17

Architecture and Design Operation

Strategy: Environment Hardening

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 MIT-15

Architecture and Design

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 MIT-28

Implementation

Strategy: Output Encoding

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 MIT-5

Implementation

Strategy: Input Validation

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 MIT-21

Architecture and Design

Strategy: Enforcement by Conversion

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 MIT-39

Implementation

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 MIT-29

Operation

Strategy: Firewall

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 MIT-16

Operation Implementation

Strategy: Environment Hardening

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.

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