Common Weakness Enumeration

CWE-89

Allowed

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

Abstraction: Base · Status: Stable

API response cwe.mitre.org

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.

27846 vulnerabilities reference this CWE, most recent first.

CVE-2026-71292 (GCVE-0-2026-71292)

Vulnerability from cvelistv5 – Published: 2026-08-05 12:38 – Updated: 2026-08-05 15:46
VLAI
Title
Subrion CMS Admin Grid SQL Injection via Unwhitelisted ORDER BY sort Parameter
Summary
Subrion CMS's admin grid sorting helper, _gridGetSorting() in includes/classes/ia.base.controller.admin.php, whitelists the `dir` (ASC/DESC) request parameter via in_array(), but falls back to the raw, attacker-supplied `sort` GET parameter whenever the requested key is not present in the per-controller $_gridSorting whitelist array: `$column = isset($this->_gridSorting[$params['sort']]) ? ... : $params['sort'];`, which is then placed into `sprintf(' ORDER BY %s`%s` %s', $tableAlias, $column, $direction)` with only backtick-quoting and no escaping. Because a backtick in the payload breaks out of the identifier context, an authenticated admin session can inject arbitrary SQL (error-based via EXTRACTVALUE, or time-based via SLEEP()) to extract database contents including administrator password hashes. Most of Subrion's ~29 admin grid controllers either define no $_gridSorting whitelist at all (e.g. pages.php, transactions.php, languages.php) or an incomplete one covering only some of their sortable columns (e.g. members.php whitelists only 1 of 7 sortable fields), making the vast majority of admin grid endpoints exploitable.
Severity
7.2 (High)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
intelliants subrion Affected: 0 , ≤ 4.2.1 (semver)
Create a notification for this product.
Credits
Saidakbarxon Maxsudxonov
Show details on NVD website
To clipboard 

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CVE-2026-71288 (GCVE-0-2026-71288)

Vulnerability from cvelistv5 – Published: 2026-08-05 12:26 – Updated: 2026-08-05 15:49
VLAI
Title
Koha SQL Injection via order_by and {order}_ovalue Parameters in guided_reports.pl
Summary
Koha's guided report builder (reports/guided_reports.pl) reads the `order_by` CGI parameter and, for each value, a dynamically-named `{order}_ovalue` parameter, and concatenates both directly into an SQL ORDER BY clause with no allowlist or validation: `my @order_by = $input->multi_param('order_by'); foreach my $order (@order_by) { my $value = $input->param($order . "_ovalue"); $query_orderby = " ORDER BY $order $value"; }`. The resulting string is appended verbatim to the final query in C4::Reports::Guided (`$query .= $orderby;`) with no escaping. Since ORDER BY columns cannot be bound via prepared-statement placeholders, this requires an explicit allowlist, which does not exist. Any staff account with the low-privilege create_reports or execute_reports permission (commonly granted to non-admin library staff) can perform time-based blind SQL injection against the Koha database, which stores patron PII and staff/LDAP credentials.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
Koha Community Koha Affected: 0 , ≤ 26.05.01-1 (semver)
Create a notification for this product.
Credits
Saidakbarxon Maxsudxonov
Show details on NVD website
To clipboard 

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CVE-2026-71287 (GCVE-0-2026-71287)

Vulnerability from cvelistv5 – Published: 2026-08-05 12:26 – Updated: 2026-08-05 15:48
VLAI
Title
Cacti sanitize_sql_column() Regex Allowlist Permits SQL Time-Delay Functions Leading to Blind SQL Injection
Summary
Cacti's sanitize_sql_column() (lib/functions.php) sanitizes user-supplied ORDER BY column names using the regex `preg_replace('/[^a-zA-Z0-9_().]/', '', $column)`. Because this allowlist retains letters, digits, underscore, parentheses, and dot (intended to support expressions like COUNT(id) and table.column), a payload such as `SLEEP(5)` passes through completely unmodified. The sanitized value is concatenated directly into raw SQL ORDER BY clauses (which cannot be parameterized) driven by a `sort_column` GET parameter in at least user_log.php, utilities.php, user_domains.php, and user_group_admin.php, allowing any authenticated Cacti user, regardless of privilege level, to perform time-based blind SQL injection against the Cacti database.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
Cacti cacti Affected: 0 , ≤ 1.3.0-dev (semver)
Create a notification for this product.
Credits
Saidakbarxon Maxsudxonov
Show details on NVD website
To clipboard 

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CVE-2026-71282 (GCVE-0-2026-71282)

Vulnerability from cvelistv5 – Published: 2026-08-05 12:26 – Updated: 2026-08-05 15:53
VLAI
Title
ChirpStack SQLite Backend SQL Injection via Device Tag Key in ListDevices Filter
Summary
ChirpStack's SQLite-backend device tag filtering (chirpstack/src/storage/device.rs, in both get_count() and list()) interpolates the user-supplied tag KEY directly into a raw SQL fragment via Rust's format!() macro (`dsl::sql::<Bool>(&format!("device.tags->>'{}' =", k)).bind::<Text, _>(v)`), while only the tag VALUE is safely parameter-bound via Diesel's .bind(). An authenticated user with device-list access can inject SQL via a crafted tag key when the SQLite backend (chirpstack-sqlite package) is in use; the PostgreSQL backend is unaffected as it uses Diesel's native JSONB containment operator instead of raw SQL string formatting.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
chirpstack chirpstack Affected: 0 , ≤ 4.19.0-test.5 (semver)
Create a notification for this product.
Credits
Alibek Baxtiyorov
Show details on NVD website
To clipboard 

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CVE-2026-71276 (GCVE-0-2026-71276)

Vulnerability from cvelistv5 – Published: 2026-08-05 12:26 – Updated: 2026-08-05 15:55
VLAI
Title
Magistrala (formerly Mainflux) IoT Platform SQL Injection via format Query Parameter
Summary
Magistrala (formerly Mainflux)'s message-readers API reads a `format` value from the HTTP query string (readers/api/http/transport.go) with no validation and interpolates it directly into raw SQL queries via fmt.Sprintf() in both the PostgreSQL reader (readers/postgres/messages.go: `fmt.Sprintf("SELECT * FROM %s WHERE %s ...", format, cond)`) and the TimescaleDB reader (readers/timescale/messages.go, same pattern), enabling SQL injection by any authenticated user able to query channel messages.
Severity
7.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
absmach magistrala Affected: 0 , ≤ * (custom)
Create a notification for this product.
Credits
Alibek Baxtiyorov
Show details on NVD website
To clipboard 

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CVE-2026-71248 (GCVE-0-2026-71248)

Vulnerability from cvelistv5 – Published: 2026-08-05 10:57 – Updated: 2026-08-05 12:42
VLAI
Title
Inventory-Management-System-PHP: Unauthenticated SQL Injection in Login and Product Deletion
Summary
Inventory-Management-System-PHP's login.php constructs its authentication query via direct string concatenation of raw POST parameters: $sql = "select * from user where email = '$email' and password = '$password'", with no escaping or parameterization, allowing authentication bypass via a payload such as email=' OR 1=1 LIMIT 1-- -. Separately, delete.php executes mysqli_query($db, "DELETE FROM product WHERE product_id=" . $_GET['id']) with no authentication check and no validation of the id parameter, allowing an unauthenticated attacker to delete arbitrary product rows or perform blind SQL injection via payloads such as id=0 OR SLEEP(5).
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Credits
Javokhir Tursunboyev
Show details on NVD website
To clipboard 

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CVE-2026-71245 (GCVE-0-2026-71245)

Vulnerability from cvelistv5 – Published: 2026-08-05 10:56 – Updated: 2026-08-05 12:35
VLAI
Title
Mautic: SQL Injection via field Parameter in Lead-by-Field-Value AJAX Endpoint
Summary
Mautic's getLeadIdsByFieldValueAction (LeadBundle/Controller/AjaxController.php) reads a field parameter from the request, sanitizes it only with InputHelper::clean() (which HTML-entity-encodes quotes and angle brackets but does not restrict other characters), and passes it into LeadRepository::buildQueryForGetLeadsByFieldValue() where it is concatenated directly as a raw SQL column identifier ($col = 'l.'.$field) rather than being validated against a whitelist of real column names or passed as a bound parameter. Since Doctrine cannot parameterize identifiers, and the sanitizer does not block spaces, parentheses, or other SQL-relevant characters, an attacker can inject SQL via the field name itself. The action requires only a valid session (any authenticated user), unlike sibling actions in the same controller that carry additional permission checks.
Severity
7.1 (High)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Vendor Product Version
mautic mautic Affected: 0
Create a notification for this product.
Credits
Bobur Abdugafforov
Show details on NVD website
To clipboard 

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CVE-2026-71237 (GCVE-0-2026-71237)

Vulnerability from cvelistv5 – Published: 2026-08-05 10:56 – Updated: 2026-08-05 12:48
VLAI
Title
Miantang IoT-PHP: Unauthenticated SQL Injection in /userlogin
Summary
Miantang/IoT-PHP's index.php implements a POST /userlogin route that reads the password directly from $_POST['pwd'] with no sanitization and concatenates it into a raw SQL string: mysql_query("select * from userlists where username='$username' and password='$password' limit 1"). The username value is passed through htmlspecialchars(), which does not encode single quotes by default and therefore does not prevent SQL injection through the password field. An unauthenticated attacker can submit a payload such as pwd=' OR '1'='1 to bypass authentication and, via UNION-based injection, extract arbitrary data from the database.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Credits
Mirdavlatov Mira'zam
Show details on NVD website
To clipboard 

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CVE-2026-71231 (GCVE-0-2026-71231)

Vulnerability from cvelistv5 – Published: 2026-08-05 10:56 – Updated: 2026-08-05 12:52
VLAI
Title
IOTSmartHome: Unauthenticated SQL Injection via lastLogin Cookie
Summary
IOTSmartHome's gui/login.php checkCookie() function builds an authentication query as SELECT * FROM users WHERE ID='<decoded lastLogin cookie>' after base64-decoding the client-supplied lastLogin cookie via safe_decode(), which performs URL-safe base64 decoding with no sanitization of the decoded value before it is concatenated into the SQL string. An unauthenticated attacker can set a lastLogin cookie containing a base64-encoded SQL injection payload (e.g. base64("' OR '1'='1")) to bypass authentication and, via UNION-based injection, extract arbitrary data including user credentials.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Credits
Mirdavlatov Mira'zam
Show details on NVD website
To clipboard 

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CVE-2026-71207 (GCVE-0-2026-71207)

Vulnerability from cvelistv5 – Published: 2026-08-05 06:59 – Updated: 2026-08-05 13:28
VLAI
Title
Stock-Inventory-Management-System: Unauthenticated SQL Injection and Hardcoded Credentials in login.php Enable Full Authentication Bypass
Summary
The Stock-Inventory-Management-System application's login.php assigns raw $_POST username/password values to $_SESSION and builds its authentication query by directly concatenating those session values into a SQL statement with no parameterization or escaping. An unauthenticated remote attacker can submit a payload such as ' OR '1'='1 in the login form to bypass authentication entirely. The same script additionally contains hardcoded administrative credentials (admin/neola) in a post-login conditional check, providing a second, independent full-authentication-bypass path.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator (v2.0.3)
CWE
Assigner
References
Impacted products
Credits
Behruzbek Zokiraliyev
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                "timestamp": "2026-08-05T13:28:24.938089Z",
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          "value": "The Stock-Inventory-Management-System application\u0027s login.php assigns raw $_POST username/password values to $_SESSION and builds its authentication query by directly concatenating those session values into a SQL statement with no parameterization or escaping. An unauthenticated remote attacker can submit a payload such as \u0027 OR \u00271\u0027=\u00271 in the login form to bypass authentication entirely. The same script additionally contains hardcoded administrative credentials (admin/neola) in a post-login conditional check, providing a second, independent full-authentication-bypass path."
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          "url": "https://github.com/mrswapnilsahu/Stock-Inventory-Management-System/blob/master/login.php"
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      "title": "Stock-Inventory-Management-System: Unauthenticated SQL Injection and Hardcoded Credentials in login.php Enable Full Authentication Bypass"
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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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