Detections

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

1,252 detections

Detects processes contacting multiple different domains (potential network enumeration OR C2 rotation)
This requires correlation engine of some kind.

Logic: Same user/host contacts 5+ different domains in 10 minute span
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Danny Y@zendannyy
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Detections.ai Community
10 months ago
1049
This rule query identifies likely post‑exploitation activity associated with React2Shell (CVE-2025-55182) in which Part 1 identifies web servers spawning unusual child processes (such as command shells or system utilities) combined with suspicious command-line patterns, which may indicate post-exploitation behavior following a compromise. and part 2 detects web servers making outbound network connections to known malicious IPs or hostnames, or to domains associated with tunneling services (e.g., trycloudflare.com), suggesting potential command-and-control activity or data exfiltration.
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Navdeep Sharma@navvi24
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Detections.ai Community
11 months ago
20572,107
This rule detects applications, other than common web browsers, that are making network connections to Google Analytics domains and also contain 'microsoft' in the remote URL. This could indicate an application collecting device information or other telemetry and exfiltrating it via Google Analytics, potentially for malicious purposes or unauthorized data collection.
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F S@Fsdr
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Detections.ai Community
11 months ago
464308
This query hunts for indicators of compromise (IOCs) and behaviors linked to the LockBit 5.0 ransomware variant. It identifies the creation of the ransom note, suspicious file renaming patterns using hexadecimal extensions, and network connections to known command-and-control (C2) infrastructure associated with LockBit activity.
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Navdeep Sharma@navvi24
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Detections.ai Community
11 months ago
803535
This rule detects the presence and activity of the ShadyPanda malware campaign, specifically focusing on malicious Chrome extensions and their associated command and control (C2) and data exfiltration domains. It identifies the creation of files with known malicious Chrome extension IDs (ending in '.crx') and network connections to hardcoded C2 and exfiltration domains linked to the ShadyPanda campaign.
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Dasom Kim@none028
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Detections.ai Community
11 months ago
220311
Looks for Metadata IOCs as listed in the CISA report on BrickStorm C2 malware.
I don't recommend using this query on its own; rather, use it in conjunction with behavioural analysis to look for evidence of BrickStorm activity.

https://media.defense.gov/2025/Dec/04/2003834878/-1/-1/0/MALWARE-ANALYSIS-REPORT-BRICKSTORM-BACKDOOR.PDF
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Sam Harrison@sect0rcybersec
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Detections.ai Community
11 months ago
641474
This rule detects the presence and activity of the ShadyPanda malware campaign, specifically focusing on malicious Chrome extensions and their associated command and control (C2) and data exfiltration domains. It identifies the creation of files with known malicious Chrome extension IDs (ending in '.crx') and network connections to hardcoded C2 and exfiltration domains linked to the ShadyPanda campaign.
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doyou know@doyouknow
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Detections.ai Community
11 months ago
124131,295
This rule detects when a domain or URL observed in Teams Messages matches a known threat intelligence indicator from Microsoft Defender Threat Intelligence. It specifically looks for hits against 'Domain' and 'URL' type indicators.
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Benjamin Zulliger@benscha
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Detections.ai Community
11 months ago
802594
The .cfd Top-Level Domain (TLD) is often linked to malicious activities such as phishing, malware distribution, and command-and-control (C2) operations. This query detects new allowed network connections to .cfd domains that have appeared for the first time in your environment within the past 24 hours. Monitoring these connections can serve as an early warning sign of potential security breaches or users being targeted by phishing attacks. The query also provides valuable context for each newly observed domain, including its first-ever occurrence within a 30-day window, the total recent access count, and the users involved—enabling analysts to quickly evaluate the associated risk.
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Navdeep Sharma@navvi24
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Detections.ai Community
11 months ago
281216
This rule detects outbound HTTP traffic where the User-Agent header contains the string 'Internet Explorer'. This has been seen used by malware, and the legitimate Internet Explorer browser uses the User-Agent string "MSIE". The MSIE browser was end-of-lifed in 2022. The rule specifically looks for this pattern in established, to_server HTTP flows.
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David Wharton@whartond
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Suricata Shoebox
11 months ago
0169
This rule enables logging of JA3 and JA3S hashes in AWS Network Firewall to enhance visibility into TLS connections, useful for identifying malicious activities.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0581
This rule configures AWS Network Firewall to block outbound traffic to IPs located in high-risk countries, such as Russia and China, as a preventive security measure.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0050
This rule monitors AWS Network Firewall for HTTP and TLS connections to domains with uncommon TLDs to identify anomalous behavior without blocking traffic, providing visibility rather than specific threat detection.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0037
This rule blocks connections made directly to IP addresses instead of domain names, a technique often used by malware to evade detection, leveraging AWS Network Firewall and Suricata.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0036
This rule provides a preventive configuration for AWS Network Firewall that blocks outbound HTTP and TLS connections to domains using high-risk country-code top-level domains (ccTLDs) like .ru and .cn.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0032
This rule blocks HTTP and TLS connections to domains with high-risk TLDs like .xyz, .info, and .top due to their frequent association with malicious activities.
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Lawton Pittenger@lawtonpittenger
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AWS Network Firewall Sample Suricata Rules
11 months ago
0028
Detects GitHub self-hosted runners executing workflows on local infrastructure that could be abused for persistence and code execution.
Shai-Hulud is an npm supply chain worm targeting CI/CD environments.
It installs runners on compromised systems to maintain access after credential theft, leveraging their access to secrets and internal networks.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detects common shell processes launching a reverse shell using the '/dev/tcp' redirection. This technique is known to be used by adversaries like the Clop ransomware group for persistence and command and control.
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Tim Peck@timpeck
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Detections.ai Community
1 year ago
70180
ET MALWARE Win32/Lumma Stealer Related CnC Domain in DNS Lookup (sanguen .courses)
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0032
ET MALWARE Observed Win32/Lumma Stealer Related Domain (sanguen .courses) in TLS SNI
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0021
ET INFO Blockchain RPC Domain in TLS SNI (cloudflare-eth .com)
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Tim Peck@timpeck
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Proofpoint Emerging Threats Rules
1 year ago
0017
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