mirror of
https://github.com/splunk/security_content
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47 lines
1.6 KiB
JSON
47 lines
1.6 KiB
JSON
{
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"category": "Adversary Tactics",
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"channel": "ESCU",
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"creation_date": "2016-09-13",
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"description": "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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"id": "4f6632f5-449c-4686-80df-57625f59bab3",
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"maintainers": [
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{
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"company": "Splunk",
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"email": "bpatel@splunk.com",
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"name": "Bhavin Patel"
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}
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],
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"modification_date": "2017-09-19",
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"name": "SQL Injection",
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"narrative": "It is very common for attackers to inject SQL parameters into vulnerable web applications, which then interpret the malicious SQL statements.<br></br>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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"original_authors": [
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{
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"company": "Splunk",
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"email": "bpatel@splunk.com",
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"name": "Bhavin Patel"
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}
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],
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"references": [
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"https://www.owasp.org/index.php/SQL_Injection",
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"https://www.owasp.org/index.php/Blind_SQL_Injection",
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"https://www.incapsula.com/web-application-security/sql-injection.html"
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],
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"searches": {
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"contextual_searches": [
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"Get Notable Info",
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"Get Notable History",
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"Get User Information from Identity Table",
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"Get Authentication Logs For Endpoint",
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"Get Risk Modifiers For User",
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"Get Risk Modifiers For Endpoint"
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],
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"detection_searches": [
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"SQL Injection with Long URLs"
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],
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"investigative_searches": [],
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"support_searches": []
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},
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"spec_version": 1,
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"version": "1.0"
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}
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