Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

6,537 detections

See what files are being deleted from flash file systems
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects BGP failures which may be indicative of brute force attacks to manipulate routing
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects LDP failures which may be indicative of brute force attacks to manipulate MPLS labels
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects BGP failures which may be indicative of brute force attacks to manipulate routing.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects juniper BGP missing MD5 digest. Which may be indicative of brute force attacks to manipulate routing.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
Detects download of certain file types from hosts with dynamic DNS names (selected list)
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
6 months ago
000
This rule detects network traffic to the command and control (C2) domain 'sfrclak.com', which is associated with compromised versions of the Axios npm package (specifically 1.14.1 and 0.30.4). This traffic represents the first stage of activity where dropper scripts on an affected endpoint attempt to communicate with their C2 server.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
120338
Detects unusual outbound network connections from ATM devices (identified by device names containing 'ATM', 'NCR', 'DIEBOLD', 'WINCOR'). The rule flags connections to public IP addresses, excluding common internal networks and standard web/DNS ports (80, 443, 53). Alerts are triggered if an ATM device shows a high number of connections, unique remote IPs, or significant data transfer, indicating potential compromise or unauthorized activity.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
130215
This query identifies HTTP(S) requests logged within Ivanti EPMM (formerly MobileIron) logs that match exploitation URI parameters, specifically looking for '/mifs/c/appstore/fob' and '=gPath' in the HTTP_Request_URI. The EPMM Version number is also extracted to provide additional context for security teams to identify if their software version is vulnerable.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
30166
This rule detects suspicious network communication patterns indicative of command and control (C2) activity by analyzing the jitter (variability) in connection gaps and byte transfer sizes. It identifies connections with a high number of events, a consistent average gap between connections, and low jitter in both connection timing and data transfer sizes (bytes out and bytes in). This pattern can suggest automated, scheduled communication often associated with C2 channels.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
101315
This rule detects DNS requests for domain names that combine Middle Eastern-themed keywords (dubai, emirates, iran, saudi, etisalat) with suspicious or cheap Top-Level Domains (TLDs) such as .top, .cyou, .click, .life, .mom, .sbs, or .xyz. This pattern can indicate potential phishing attempts, malicious infrastructure, or C2 communication attempting to blend in with legitimate traffic by using seemingly relevant but low-cost domains.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
102130
This rule detects DNS resolution requests to specific malicious command and control (C2) domains, 'sfrclak.com' and 'callnrwise.com', which have been linked to the 'Axios attack'. Detection of these domains indicates potential compromise and active C2 communication.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
60111
Detects cleartext network connections using FTP (port 21) or Telnet (port 23) to external IP addresses. This rule specifically filters out internal RFC1918 traffic to focus on public-facing cleartext communications, addressing compliance requirements such as PCI-DSS for strong cryptography over public networks.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
112136
Detects outbound HTTP POST requests using a specific, hardcoded Internet Explorer 8 User-Agent string over a specific port. This combination is highly indicative of the cross-platform RAT deployed via the compromised Axios npm packages.
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Danny Y@zendannyy
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Detections.ai Community
7 months ago
120321
This rule detects potential exposure of Payment Card Industry (PCI) data, specifically Payment Account Numbers (PANs), within network traffic. It looks for keywords related to payment information (e.g., 'post', 'put', 'payment', 'card', 'ccnum', 'account number') in conjunction with sequences of 13 to 19 digits that resemble PANs. The rule attempts to filter out masked PANs (e.g., those containing '****' or 'xxxx'). This could indicate sensitive data being transmitted insecurely or logged inappropriately.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
7056
This rule detects attempts to exploit a vulnerability in ShareFile (CVE-2026-2699/CVE-2026-2701) by monitoring for HTTP GET requests to the `/ConfigService/api/StroageZoneConfig` URI path with a `h=` query parameter. This pattern is indicative of an attacker trying to leak API secrets.
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Tim Peck@timpeck
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Detections.ai Community
7 months ago
20105
Detects network connections to a known Sapphire Sleet (APT38) command and control (C2) IP address and port, or DNS resolution requests for a malicious Sapphire Sleet C2 domain. This rule identifies direct communication with infrastructure associated with the Sapphire Sleet threat actor.
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Josh M.@jmadson
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Detections.ai Community
7 months ago
1186
This rule detects exploitation attempts against Oracle WebLogic servers by identifying HTTP requests that target known WebLogic administrative or internal endpoints and simultaneously contain indicators of command execution payloads within the URL. Specifically, it looks for URLs containing '/console/', '/wls-wsat/', '/bea_wls_internal/', or '/_async/' combined with keywords like 'cmd=', 'bash', 'powershell', 'wget', 'curl', 'base64', 'IEX', or 'Runtime.getRuntime'. The rule also requires the source IP to be different from the target IP, indicating an external attacker. This pattern is typical of Remote Code Execution (RCE) exploitation attempts, including those targeting vulnerabilities like CVE-2026-21962.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
7 months ago
30367
Detects DNS queries to the known command and control domain bad-example-c2.com, converted from a Suricata detection rule.
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Ali AlEnezi@site
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Detections.ai Community
7 months ago
2053
Detects potential NetScaler administrative session hijacking by monitoring for the usage of SESSID or NITRO_SK administrative cookies from multiple source IPs. Attackers leverage CVE-2026-3055 to steal these specific session cookies to gain unauthorized administrative access.
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Ethan Andrews@eandrews
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Federal Signal Detections
7 months ago
150202
Detects network connections to known Command and Control (C2) infrastructure associated with the compromised axios NPM package, which was found to drop a Remote Access Trojan (RAT). The rule specifically looks for connections to the IP address 142.11.206.73 or DNS queries for 'sfrclak.com'.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
7 months ago
20117
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