Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects kernel-level stability issues or crashes (ah6/ipsec related) occurring immediately after the execution of processes that create new user namespaces (unshare, clone with CLONE_NEWUSER). This pattern is often associated with exploitation of kernel vulnerabilities, where namespace manipulation is a prerequisite for triggering a crash or privilege escalation.
This rule identifies Linux devices running kernel versions susceptible to the DirtyAH6, TUNderflow, PPPoEject, and DiagSpill vulnerabilities. It parses the kernel version from the OSBuild information and flags devices falling below the specific patched versions (5.10.270, 6.1.188, 6.6.157, 7.2.4).
This rule identifies Linux devices running kernel versions susceptible to the DirtyAH6, TUNderflow, PPPoEject, and DiagSpill vulnerabilities. It parses the kernel version from the OSBuild information and flags devices falling below the specific patched versions (5.10.270, 6.1.188, 6.6.157, 7.2.4).
This rule identifies Linux devices running kernel versions susceptible to the DirtyAH6, TUNderflow, PPPoEject, and DiagSpill vulnerabilities. It parses the kernel version from the OSBuild information and flags devices falling below the specific patched versions (5.10.270, 6.1.188, 6.6.157, 7.2.4).
This rule identifies Linux devices running kernel versions susceptible to the DirtyAH6, TUNderflow, PPPoEject, and DiagSpill vulnerabilities. It parses the kernel version from the OSBuild information and flags devices falling below the specific patched versions (5.10.270, 6.1.188, 6.6.157, 7.2.4).
This rule identifies Linux devices running kernel versions susceptible to the DirtyAH6, TUNderflow, PPPoEject, and DiagSpill vulnerabilities. It parses the kernel version from the OSBuild information and flags devices falling below the specific patched versions (5.10.270, 6.1.188, 6.6.157, 7.2.4).
This rule detects a high volume of SCTP traffic targeted at internal systems, characterized by mass endpoint creation. This behavior is indicative of an exploit attempt against the 'sctp_diag' kernel component (CVE-2026-74469), which can lead to an out-of-bounds (OOB) write condition, potentially resulting in system instability or denial of service.
This rule detects a high volume of SCTP traffic targeted at internal systems, characterized by mass endpoint creation. This behavior is indicative of an exploit attempt against the 'sctp_diag' kernel component (CVE-2026-74469), which can lead to an out-of-bounds (OOB) write condition, potentially resulting in system instability or denial of service.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects the execution of the Linux 'unshare' utility to create new namespaces (user or network). This command is often used as a primitive for container escapes or privilege escalation by allowing an unprivileged user to create isolated environments. The rule excludes common container management and virtualization tools to reduce noise.
Detects potential local privilege escalation (LPE) to root via an unshare invocation, tracking the process lineage from an unprivileged unshare execution to the subsequent spawning of a root-privileged shell within a short time window. This pattern is characteristic of various Linux kernel vulnerability exploits such as DirtyAH6, TUNderflow, PPPoEject, and DiagSpill, where the unshare system call is abused to enter new user namespaces to bypass security restrictions.
Detects potential local privilege escalation (LPE) to root via an unshare invocation, tracking the process lineage from an unprivileged unshare execution to the subsequent spawning of a root-privileged shell within a short time window. This pattern is characteristic of various Linux kernel vulnerability exploits such as DirtyAH6, TUNderflow, PPPoEject, and DiagSpill, where the unshare system call is abused to enter new user namespaces to bypass security restrictions.
Detects interactive or ad-hoc loading of the SCTP kernel module, which can be indicative of an adversary attempting to gain kernel-level persistence or capabilities. The rule excludes common system-initiated module loads from package managers and system service managers to reduce noise.
This rule detects the execution of specific suspicious filenames (dirtyah6, tunderflow, pppoeject, diagspill) when they are launched from common staging or temporary directories such as /tmp, /home, or /root, while excluding known build environments, package management directories, and common development workspaces.
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 execution of the 'socat' utility with command-line arguments indicating the establishment of a network listener. Socat is a multipurpose relay tool that can be abused by adversaries for pivoting, proxying traffic, or creating reverse shells by establishing listener ports.
Detects anomalous serialized object payloads within authenticated GraphQL subscription requests to GitLab Duo Chat endpoints. This pattern is indicative of exploitation attempts targeting the insecure deserialization vulnerability in GitLab EE (CVE-2026-87719), where malicious payloads are injected into serialized data streams.
This rule monitors network traffic, DNS queries, and user web clicks to detect interactions with known malicious domains associated with credential harvesting and phishing campaigns, specifically those impersonating security or SSO portals.
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.
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