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43 lines
1.7 KiB
Markdown
43 lines
1.7 KiB
Markdown
---
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title: "SQL Injection"
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last_modified_at: 2017-09-19
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toc: true
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toc_label: ""
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tags:
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- Splunk Enterprise
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- Splunk Enterprise Security
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- Splunk Cloud
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- Web
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---
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[Try in Splunk Security Cloud](https://www.splunk.com/en_us/cyber-security.html){: .btn .btn--success}
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#### Description
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Use the searches in this Analytic Story to help you detect structured query language (SQL) injection attempts characterized by long URLs that contain malicious parameters.
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- **Product**: Splunk Enterprise, Splunk Enterprise Security, Splunk Cloud
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- **Datamodel**: [Web](https://docs.splunk.com/Documentation/CIM/latest/User/Web)
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- **Last Updated**: 2017-09-19
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- **Author**: Bhavin Patel, Splunk
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- **ID**: 4f6632f5-449c-4686-80df-57625f59bab3
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#### Narrative
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It is very common for attackers to inject SQL parameters into vulnerable web applications, which then interpret the malicious SQL statements.\
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This Analytic Story contains a search designed to identify attempts by attackers to leverage this technique to compromise a host and gain a foothold in the target environment.
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#### Detections
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| Name | Technique | Type |
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| ----------- | ----------- |--------------|
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| [SQL Injection with Long URLs](/web/sql_injection_with_long_urls/) | [Exploit Public-Facing Application](/tags/#exploit-public-facing-application) | TTP |
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#### Reference
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* [https://capec.mitre.org/data/definitions/66.html](https://capec.mitre.org/data/definitions/66.html)
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* [https://www.incapsula.com/web-application-security/sql-injection.html](https://www.incapsula.com/web-application-security/sql-injection.html)
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[*source*](https://github.com/splunk/security_content/tree/develop/stories/sql_injection.yml) \| *version*: **1** |