Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
743 detections
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Detects the use of offensive security tools like Evil-WinRM or winrm-fs, which are often used by threat actors for remote administration, lateral movement, or backdoor delivery via the Windows Remote Management (WinRM) protocol.
Detects high-volume, sequential HTTP requests directed at sensitive PaperCut NG/MF web interfaces from a single source IP address within a one-hour window. The high frequency of unique target access suggests automated scanning or exploitation attempts (consistent with CVE-2026-81578/CVE-2026-82078) typical of AI-driven or scripted attack campaigns.
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
This rule detects HTTP requests directed at suspicious URI patterns associated with 'LeakySensey' logs. It specifically monitors for attempts to access transaction or compromise log endpoints, which could indicate an attacker attempting to enumerate leaked data or verify compromised credentials from an exposed log repository.
This rule detects HTTP requests directed at suspicious URI patterns associated with 'LeakySensey' logs. It specifically monitors for attempts to access transaction or compromise log endpoints, which could indicate an attacker attempting to enumerate leaked data or verify compromised credentials from an exposed log repository.
Detects incoming HTTP requests to Microsoft Exchange servers that match patterns indicative of exploitation attempts for the ProxyLogon SSRF vulnerability (CVE-2021-26855). This includes detecting specific manipulation of the Autodiscover service and the injection of X-BEResource or X-AnonResource-Backend headers, which were commonly used during the initial access phase of this campaign.
Detects high-frequency SCTP ASCONF/ADD-IP chunk packets originating from external networks. This behavior is indicative of a Denial-of-Service (DoS) exploit attempt targeting a vulnerability (CVE-2026-74469) related to DiagSpill transport_count integer wraparound.
Detects high-frequency SCTP ASCONF/ADD-IP chunk packets originating from external networks. This behavior is indicative of a Denial-of-Service (DoS) exploit attempt targeting a vulnerability (CVE-2026-74469) related to DiagSpill transport_count integer wraparound.
Detects high-frequency SCTP ASCONF/ADD-IP chunk packets originating from external networks. This behavior is indicative of a Denial-of-Service (DoS) exploit attempt targeting a vulnerability (CVE-2026-74469) related to DiagSpill transport_count integer wraparound.
This rule detects a sequence of authentication activity on VPN gateways (Palo Alto, Fortinet, Cisco) where a source IP experiences multiple failed login attempts followed by at least one successful login within a 60-minute window, potentially indicating a successful brute force or password spraying attack.
Detects HTTP requests containing malicious JDBC strings targeting PaperCut NG/MF print management software, which are indicative of attempts to exploit authentication bypass and remote code execution vulnerabilities (CVE-2026-81578, CVE-2026-82078).
Detects coordinated behavioral signals associated with the CVE-2025-25249 campaign, which deploys the PivotC2 Node.js RAT on FortiGate devices. The rule correlates anomalous inbound CAPWAP (UDP/5246) traffic, Node.js process execution, suspicious JavaScript file writes, and unauthorized access to Fortinet configuration files, followed by long-lived outbound TLS beacons to non-standard ports.
Detects potential exploitation of CVE-2025-3248 in Langflow by identifying suspicious inbound network traffic targeting the /api/v1/validate/code endpoint, correlated with subsequent python child processes containing base64 decoding and execution primitives such as eval, exec, or subprocess.
Detects potential exploitation of CVE-2025-3248 in Langflow by identifying suspicious inbound network traffic targeting the /api/v1/validate/code endpoint, correlated with subsequent python child processes containing base64 decoding and execution primitives such as eval, exec, or subprocess.
Detects anomalous activity originating from or associated with the PostgreSQL service account, including the execution of shells and utilities commonly used for post-exploitation or system enumeration, as well as external network logins. This activity is indicative of credential abuse or container escapes where an adversary attempts to execute commands on the underlying host.
This rule detects a sequence of authentication activity on VPN gateways (Palo Alto, Fortinet, Cisco) where a source IP experiences multiple failed login attempts followed by at least one successful login within a 60-minute window, potentially indicating a successful brute force or password spraying attack.
Detection rules identifying malformed RDP MCS Connect Initial PDUs and unusual service crashes following RDP connection attempts, both indicative of exploitation attempts against the CVE-2019-0708 (BlueKeep) vulnerability.
This rule detects exploitation attempts against CVE-2021-33045 in Dahua devices. It identifies network traffic where a 'global.login' RPC request uses the 'Loopback' login type with a spoofed source IP address of '127.0.0.1' within the request body, while the actual TCP source address of the packet originates from a remote/external location. This technique is used to bypass authentication mechanisms.
Detects incoming HTTP requests to the WSO2 admin API endpoint that utilize a JSON Web Token (JWT) with the 'alg=none' algorithm, indicating an attempt to bypass authentication via JWT token forgery (CVE-2026-5430).
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
Detects incoming HTTP GET requests targeting Vite development server environments that utilize suspicious query parameters typically associated with vulnerability exploitation (e.g., directory traversal or sensitive file access). The rule specifically flags requests where the User-Agent string contains bot keywords but excludes verified IP ranges, suggesting an attempt to bypass security filters by spoofing crawler identities.
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