Detections

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

5,876 detections

This rule detects high volume data exfiltration (over 1GB) from devices to a list of known malicious IP addresses within a one-hour window. It specifically looks for network events where a significant amount of data (SentBytes > 100MB initially, then summed to over 1GB) is sent to hardcoded remote IP addresses associated with potential command and control or data exfiltration infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
Identifies network connections to specific IP addresses known to be part of the SniperDz phishing and subscription fraud ecosystem. These IPs are hosted on Horizon IQ and are associated with hundreds of suspicious domains.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
003
Detects connections to default C2 ports used by Metasploit and common RAT frameworks
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
105
Detects access to paid threat intelligence or dark web data platforms
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects queries to internet-wide scan databases for target infrastructure reconnaissance
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
Detects network connections to the primary C2 domain (fruitbrat.com) used by the Mustang Panda PlugX variant in this campaign. Specifically flags HTTPS connections to this domain.
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
5 months ago
4018
Detects use of Tor network for anonymous C2 communications
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
Detects API access to VPS providers for spinning up attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects an outbound email bombing campaign by monitoring TCP connections to port 25 (SMTP). It triggers an alert if a single source IP address initiates 200 or more established connections to port 25 within a 60-second window. This high volume of outbound email connections from a single source is indicative of an attempt to overwhelm an email server or recipient with a large number of emails, often associated with denial-of-service attacks.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
This rule detects devices making a high volume of successful network connections to GitHub's API endpoints (api.github.com or api.releases). A count of 5 or more successful connections within an hour from a single device is considered suspicious and could indicate data exfiltration, automated tooling, or unusual development activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
006
This rule detects the presence of a Right-to-Left Override (RLO) character sequence in the content of an email sent over SMTP. The RLO character (U+202E, represented as E2 80 AE in UTF-8) is often used in phishing or malware campaigns to visually reverse the order of characters in a filename, making an executable file appear to be a benign file type (e.g., 'document.txt.exe' could appear as 'document.exe.txt'). The rule specifically looks for this byte sequence in traffic destined for port 25 (SMTP) and flags it as trojan activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
007
This rule detects outbound network connections to URLs associated with common file sharing services (e.g., Dropbox, Mega, Gofile) or temporary email providers (e.g., Temp-Mail). Such connections can indicate data exfiltration attempts, use of unsanctioned services, or communication with command and control infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
106
Detects a device making an unusually high number of unique outbound network connections to different remote IP addresses within a short time frame (5 minutes). This behavior can indicate various malicious activities such as network scanning, botnet activity, or data exfiltration to multiple external hosts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
006
This rule detects potential data exfiltration attempts over non-standard network ports. It identifies devices that establish more than 5 network sessions to external (non-private IP) destinations on ports other than common ones like 80 (HTTP), 443 (HTTPS), 21 (FTP), 22 (SSH), 25 (SMTP), 110 (POP3), 143 (IMAP), 993 (IMAPS), and 995 (POP3S) within a one-hour window. This behavior can indicate an adversary attempting to bypass network monitoring by using less common ports for data transfer.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
106
This rule detects unusual network beaconing activity from processes. It identifies processes that make more than 50 network connections within a 15-minute window to distinct remote IP addresses and ports, excluding common legitimate processes like svchost.exe, chrome.exe, msedge.exe, and explorer.exe. The rule then enriches this information with the last seen time of the process.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
006
This rule detects high-volume data exfiltration attempts over common HTTPS ports (443 or 8443). It identifies network connections where more than 1MB of data is sent in a single connection, then aggregates these connections over one-hour intervals per device and remote IP. Finally, it flags any device that has sent a total of 50MB or more within that hour to a specific remote IP, indicating potential data exfiltration to a command and control server.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
106
Detects symmetric encryption patterns in C2 communications for encrypted channel detection
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
104
Detects bulk IMAP email collection from remote mail servers
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects use of Tor network proxy ports for anonymous C2 communications
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
Detects C2 infrastructure switching to second-stage servers after initial beacon
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
Detects download of malware source code from code repositories
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
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