Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential exploitation attempts targeting vulnerabilities within the libheif image processing library. It monitors for image processing binaries (e.g., convert, magick) executing with command-line arguments related to HEIF/HEIC files, followed by multiple application crash events (SIGSEGV, coredumps) associated with libheif on the same device within a short time window.
This rule detects potential exploitation attempts targeting vulnerabilities within the libheif image processing library. It monitors for image processing binaries (e.g., convert, magick) executing with command-line arguments related to HEIF/HEIC files, followed by multiple application crash events (SIGSEGV, coredumps) associated with libheif on the same device within a short time window.
This rule detects potential exploitation attempts targeting vulnerabilities within the libheif image processing library. It monitors for image processing binaries (e.g., convert, magick) executing with command-line arguments related to HEIF/HEIC files, followed by multiple application crash events (SIGSEGV, coredumps) associated with libheif on the same device within a short time window.
This rule detects potential exploitation attempts targeting vulnerabilities within the libheif image processing library. It monitors for image processing binaries (e.g., convert, magick) executing with command-line arguments related to HEIF/HEIC files, followed by multiple application crash events (SIGSEGV, coredumps) associated with libheif on the same device within a short time window.
Detects the loading or execution of pkexec.so, which is indicative of exploitation attempts targeting CVE-2021-4034 (PwnKit). This vulnerability allows for local privilege escalation on Linux systems, including within compromised containers.
Detects malicious activities associated with the SilkParasite campaign targeting Redis servers. The rules identify the initiation of a 'SLAVEOF' command to a rogue replication host, subsequent handshake (PSYNC/REPLCONF) with an external attacker-controlled node, and the modification of server configuration ('CONFIG SET dbfilename') to potentially facilitate unauthorized file persistence or data exfiltration through the Redis replication mechanism.
Detects anomalous child processes spawned by a Chrome renderer process. This behavior is often indicative of exploitation attempts, such as the BlueMoon exploit kit leveraging CVE-2026-85046, where a compromised renderer attempts to escape the sandbox or execute arbitrary code in the host process.
Detects anomalous process execution originating from the PaperCut application server process, specifically targeting the SetupCompleted servlet endpoint. This pattern is indicative of an exploitation attempt, such as CVE-2026-81578, where unauthenticated requests trigger backend server actions before proper access validation.
Detects web requests to 'wp-admin/theme-install.php' containing suspicious query parameters that indicate an attempt to force an unauthenticated theme installation via a Cross-Site Request Forgery (CSRF) exploit (Click2Shell). The rule identifies requests with malicious payloads in the 'theme' parameter, specifically looking for indicators that attempt to bypass CSRF protections when originating from an external site or a non-admin session context.
This rule detects malformed SCTP packets that trigger a protocol decoding error ('pkt_too_small'). This behavior is associated with the 'DiagSpill' vulnerability (CVE-2026-74469), where specially crafted chunk sequences in the SCTP stream can cause a remote service crash or potential instability. The rule includes a threshold to mitigate noise from non-malicious malformed packets.
Detects a specifically malformed IPv6 Routing Header (type 0) with a 'segments_left' value of 255 preceding an Authentication Header (AH). This signature targets an exploit pattern known as 'DirtyAH6', which aims to trigger a remote kernel crash or potential remote code execution on vulnerable systems by manipulating IPv6 header processing.
Detects unauthenticated access attempts or requests originating from system/service accounts targeting the PaperCut NG/MF administrative interface, which may indicate exploitation of authentication bypass vulnerabilities (e.g., CVE-2026-81578).
Detects attempts to execute arbitrary JavaScript code on a MongoDB server using the deprecated eval command or patterns consistent with sandbox escape techniques (probing for process, load, and require functions).
Detects attempts to bypass the Redis Lua scripting environment sandbox by injecting 'require' and 'dofile' commands within an 'EVAL' request. These commands are typically used to load external modules or files, which, if successful, could allow an attacker to achieve arbitrary code execution on the server hosting the Redis instance.
Detects unauthorized attempts to access the Marimo Notebook terminal via a WebSocket connection, indicative of an exploit attempt targeting CVE-2026-39987.
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 web server processes (e.g., Apache, Nginx, PHP-FPM, IIS) launching suspicious shell or system administration utilities. This behavior is indicative of a web server compromise, potentially involving the use of web shells or the exploitation of public-facing web applications to execute arbitrary commands.
Detects potential indirect prompt injection attacks against LLM agents. The rule monitors for ingested or retrieved content containing known injection patterns (e.g., hidden comments, 'system:' role spoofing) that is followed within 5 minutes by a privileged tool invocation by the agent, such as data exfiltration or system command execution.
Detects attempts to trigger a poisoned machine learning model through anomalous inference requests. The rule identifies inference API calls flagged as statistically anomalous by an upstream detector (e.g., unusual pixel patterns, token sequences, or steganographic payloads) that are correlated with a specific, spike-related output class across multiple distinct users.
Detects potential LLM jailbreak attempts by identifying a high frequency of guardrail-blocked responses followed by user prompts containing known jailbreak strategy fingerprints (such as roleplay, persona switching, or instruction overrides) within a 15-minute window.
Detects repeated, suspicious HTTP requests targeting sensitive management or administrative interfaces (e.g., /admin, /wp-admin, /cgi-bin) that utilize obfuscated, unusually encoded payloads. This activity is consistent with automated attempts to exploit recently disclosed vulnerabilities where traditional WAF/IDS signatures have been bypassed or failed to trigger high-confidence alerts.
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