Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
2,132 detections
Filters
Last updated
All Time
Detection languages
761
532
431
179
94
Contributors
499
335
285
191
168
Categories
1,525
1,087
390
369
240
Platforms
934
681
611
142
99
Products / Services
552
383
359
337
293
MITRE Techniques
18,123
15,639
12,581
8,394
6,215
2,132
CVEs
51
50
44
42
29
IDS Classtypes
320
140
29
13
5
IDS Protocols
454
34
13
5
4
This rule detects attempts to exploit a path traversal vulnerability (CVE-2024-21762) in FortiOS SSL-VPN by monitoring for malformed GET requests targeting the /remote/fgt_lang endpoint. The rule also tracks successful exploitation by identifying HTTP 200 responses containing Linux password file patterns (root:x:0:0:), indicating potential remote file disclosure.
Detects the presence of known artifacts associated with the GhostContainer backdoor, including indicators of Neo-reGeorg web shell usage, ysoserial payloads, and exploitation attempts targeting the CVE-2020-0688 vulnerability via VIEWSTATE manipulation.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
Detects indicators associated with the exploitation of CVE-2025-3248 in Langflow. The rule identifies anomalous web requests targeting the /api/v1/validate/code endpoint, subsequent suspicious process creation (base64 encoded payloads in Python/shell), and network communication with identified command and control (C2) or data exfiltration IP addresses. It also includes alerts for observed contact with known extortion email addresses.
Detects unauthorized attempts to request an AWS token via the JFrog Artifactory API, specifically targeting a vulnerability identified as CVE-2026-42018. The rule triggers when a POST request is made to the '/access/api/v1/aws/token/' endpoint without an Authorization header, indicating potential exploitation of an anonymous token request flaw.
This rule monitors IT asset inventory data for instances of ConnectWise (ScreenConnect) software running outdated versions prior to 26.6.5, which are known to be vulnerable to CVE-2026-84869. Identifying these assets is critical for preventing potential exploitation of public-facing remote administration tools.
This rule detects potential exploitation attempts against PaperCut servers by identifying high-frequency, consistent-interval network requests directed at PaperCut-specific URI patterns and ports, or associated with known vulnerability identifiers (CVE-2026-81578, CVE-2026-82078). The rule employs statistical analysis to identify potential automated scanning or exploitation activity, filtering out known geographic regions associated with lower-risk or irrelevant traffic.
Detects unauthenticated network requests targeting specific administration endpoints (SetupCompleted, configure-update-service, or /admin/) of PaperCut NG/MF applications. The rule identifies potential exploitation attempts by flagging successful requests that return HTTP status codes other than 401 (Unauthorized) or 403 (Forbidden), indicating a possible authentication bypass.
Detects potential JWT algorithm-confusion or authentication-bypass attempts
targeting WSO2 API Manager components through JWTs specifying unsupported,
downgraded, or unexpected signing algorithms such as "none" or HS256 where
asymmetric signing is expected. Matching events should be investigated to
determine whether the request represents exploitation of CVE-2026-5430.
targeting WSO2 API Manager components through JWTs specifying unsupported,
downgraded, or unexpected signing algorithms such as "none" or HS256 where
asymmetric signing is expected. Matching events should be investigated to
determine whether the request represents exploitation of CVE-2026-5430.
Detects rapid, machine-speed, sequential attack-path adaptation by suspected AI agent binaries. The rule monitors for a correlation of four stages occurring within a tight 20-minute window: 1) Failed service connections across three or more distinct protocols (SMB, SSH, HTTP, RDP, WinRM), 2) Credential access attempts (Logon events or execution of known credential-dumping tools), and 3) A lateral movement pivot to a new, previously un-targeted internal destination. The rule specifically keys on the InitiatingProcessId and InitiatingProcessCreationTime to ensure the sequence is attributed to a single process instance, distinguishing it from human manual penetration testing activity. Covers T1190, T1210, T1078
This rule detects inbound HTTP requests targeting Microsoft Exchange Server that contain the specific headers and patterns associated with the ProxyLogon (CVE-2021-26855) Server-Side Request Forgery (SSRF) vulnerability. It specifically monitors for the presence of the 'X-BEResource' header and malformed request structures used by attackers to bypass authentication.
The following analytic detects Cisco IOS-XE configuration changes performed by the WebUI WSMA process.
The following analytic identifies unusually long strings in the Content-Type HTTP header sent by the client to the server. It uses data from the Stream:HTTP source, specifically evaluating the length of the `cs_content_type` field. This activity is significant because excessively long Content-Type headers can indicate attempts to exploit vulnerabilities or evade detection mechanisms. If confirmed malicious, this behavior could allow attackers to execute code, manipulate data, or bypass security controls, potentially leading to unauthorized access or data breaches.
This rule detects SQL injection attempts targeting the BuddyBoss members REST endpoint, specifically identifying exploitation patterns associated with the 'sqlmap' tool. The rule monitors for specific URL parameters including 'member_type', 'search_terms', and 'scope' in combination with an 'sqlmap' user-agent, indicating an automated exploitation attempt against the application.
Detects a multi-stage attack pattern against publicly exposed AI service endpoints. The detection correlates: (1) Enumeration of sensitive AI/MCP-related API endpoints (minimum 3 distinct hits) in a 10-minute window; (2) Subsequent POST requests to AI service endpoints within 15 minutes of the enumeration; and (3) A spike of 5 or more server errors (HTTP 5xx) within 10 minutes following the POST activity. This pattern suggests automated reconnaissance followed by attempted exploitation of exposed AI model interfaces or orchestration services. Covers T1595.002, T1190
Detects a multi-stage attack pattern against publicly exposed AI service endpoints. The detection correlates: (1) Enumeration of sensitive AI/MCP-related API endpoints (minimum 3 distinct hits) in a 10-minute window; (2) Subsequent POST requests to AI service endpoints within 15 minutes of the enumeration; and (3) A spike of 5 or more server errors (HTTP 5xx) within 10 minutes following the POST activity. This pattern suggests automated reconnaissance followed by attempted exploitation of exposed AI model interfaces or orchestration services. Covers T1595.002, T1190
Detects a multi-stage attack pattern against publicly exposed AI service endpoints. The detection correlates: (1) Enumeration of sensitive AI/MCP-related API endpoints (minimum 3 distinct hits) in a 10-minute window; (2) Subsequent POST requests to AI service endpoints within 15 minutes of the enumeration; and (3) A spike of 5 or more server errors (HTTP 5xx) within 10 minutes following the POST activity. This pattern suggests automated reconnaissance followed by attempted exploitation of exposed AI model interfaces or orchestration services. Covers T1595.002, T1190
Detects anomalous Telnet (TCP port 23) traffic associated with Mirai-variant botnet propagation, such as scanning for new targets or inbound compromise attempts, often following cPanel/WHM vulnerabilities.
Detects malformed HEIF/HEIC image files with anomalous ftyp/box structure consistent with the libheif memory corruption exploit (CVE-2026-32882) used against Discourse forum image upload endpoints
Detects malformed HEIF/HEIC image files with anomalous ftyp/box structure consistent with the libheif memory corruption exploit (CVE-2026-32882) used against Discourse forum image upload endpoints
Identifies Debian systems running vulnerable versions of the libheif package (versions 1.10.x through 1.21.x) that are susceptible to CVE-2026-32882. This rule uses software inventory data to detect installations requiring an upgrade to version 1.22.0 or higher.
Page 24 of 102