Detections

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

2,006 detections

This rule detects lateral movement activity and implant deployment patterns associated with the threat group OceanLotus (APT32). It monitors for the creation of specific suspicious files and paths often used by SPECTRALVIPER/WINDSHIELD malware, identifies file transfers over SMB orchestrated by system processes, tracks the execution of remote administration tools like PsExec, and identifies internal pivot activity via named pipes.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the creation of files associated with the SPECTRALVIPER malware, used by OceanLotus for DLL sideloading. This rule specifically monitors for known launcher executables (e.g., Genuine.exe, Updater.exe) and associated configuration/payload files (e.g., GlobalSettings.conf, appcompat.log) being dropped into directories commonly used for persistence or lateral movement, such as Autodesk and Windows appcompat folders.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects unusual internal SMB connections indicating lateral movement
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
306
This rule detects when an Nginx web server proxies HTTP POST requests to FastCGI backends located on internal network subnets (RFC1918) or local unix sockets. Such behavior often indicates exploitation attempts targeting internal FastCGI interfaces, which should typically not be reachable directly from the internet-facing web server.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
Detects a suspicious spike in Microsoft Teams external meeting or chat invitations directed at a single user within a 30-minute window. This behavior is consistent with UNC6692 tactics, where attackers impersonate internal IT helpdesk staff via Teams to perform vishing and social engineering attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects modifications to Azure AD/Entra ID application configurations, specifically updating the 'RedirectUri' or 'ReplyUrls' to point to potentially external or unauthorized domains. This technique is often used in OAuth-based application-consent phishing campaigns to redirect authorization codes to adversary-controlled servers.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the use of the 'net.exe' or 'net1.exe' command-line utilities to mount a local SMB share using loopback addresses (127.0.0.1 or localhost) with the '/tcpport' argument. This pattern is indicative of attempts to exploit CVE-2026-24294 to bypass NTLM authentication protections through local reflection or relay attacks.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the execution of Python-based SMB server implementations commonly associated with the Impacket toolset. Impacket is frequently used by attackers to facilitate lateral movement, credential relay, and remote file manipulation.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the execution of Python-based SMB server implementations commonly associated with the Impacket toolset. Impacket is frequently used by attackers to facilitate lateral movement, credential relay, and remote file manipulation.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects macOS 'sharingd' or 'Foundation' service crashes (stack overflow, recursion limit exceeded, or EXC_BAD_ACCESS) that occur during the processing of plist files. This behavior is indicative of potential memory corruption exploits targeting vulnerabilities in Apple's plist parsing logic, potentially exploited via AirDrop.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network logon events (Logon Type 3) using NTLM authentication where the source IP address is local (127.0.0.1 or ::1). This behavior can be indicative of attempts to interact with local services or perform lateral movement within the same host using credential-based techniques such as 'Pass-the-Hash' or unauthorized access to local resources.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects the use of 'net.exe' or 'net1.exe' to configure a non-standard SMB port, which is a technique often used for NTLM reflection and relay attacks. By specifying an arbitrary port for SMB traffic, an attacker may attempt to bypass standard network filtering or establish a listener to intercept authentication requests.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects path traversal attempts in web server access logs by searching for dot-dot-slash (../), dot-dot-backslash (..\), or their URL-encoded equivalents (..). These patterns are indicative of efforts to access files or directories outside the intended web root.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects common lateral movement patterns associated with Pass-the-Hash (PtH) attacks, specifically identifying remote execution via WMI/services, the use of explicit credentials in management utilities (wmic/net), and suspicious network connections from known administration tools over lateral movement ports.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
202
This rule detects HTTP directory traversal attempts by inspecting incoming URI requests for common path traversal sequences such as '../', '..%2F', '..%2f', '..%5C', or '..%5c'. Attackers use these sequences to escape the web root directory and access unauthorized files on the server.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects multiple failed SSH authentication attempts against a server from a single source within a short timeframe, which is indicative of a brute force password attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the presence of the 'PSEXESVC' named pipe activity over SMB, which is a hallmark indicator of the PsExec tool being used to facilitate remote execution and lateral movement.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network traffic indicative of the EternalBlue (MS17-010) exploit attempt against SMBv1 services. The rule specifically looks for SMB packets with transaction command patterns associated with this exploit, which was commonly used by the WannaCry ransomware.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network traffic associated with PsExec lateral movement activity, specifically looking for the creation of the PSEXESVC named pipe over SMB/ADMIN$ shares, which is commonly used by PsExec to remotely execute services and commands on target systems.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects HTTP requests containing directory traversal patterns (e.g., ../, %2e%2e/) combined with attempts to access sensitive system files like /etc/passwd, shadow files, or Windows system configuration files (boot.ini, win.ini).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network traffic associated with PsExec lateral movement activity, specifically looking for the creation of the PSEXESVC named pipe over SMB/ADMIN$ shares, which is commonly used by PsExec to remotely execute services and commands on target systems.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
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