Detections

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

918 detections

Detects attempts to exploit the Apache bRPC heap profiler command injection vulnerability, CVE-2025-60021. This is done by monitoring for HTTP GET requests to the `/pprof/heap` endpoint where the `extra_options` parameter contains shell metacharacters indicative of an RCE attempt.
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Tim Peck@timpeck
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SecOps Signals
9 months ago
1051
Detects various activities associated with the ShadowHS fileless Linux post-exploitation framework, including fileless execution, specific command-line patterns, covert exfiltration, and connections to known C2 infrastructure.
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Sonya Choam@Choamx
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Detections.ai Community
9 months ago
0131
Detects network connections to known infrastructure associated with the EncystPHP web shell campaign. This IP (45.234.176.202) was observed distributing the 'c' and 'k.php' droppers.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
1029
Detects the execution of a piped command chain typical of 'ClickFix' lures used by the MacSync infostealer. The malware tricks users into pasting a command into the terminal which uses curl to download a payload, decodes it with base64, and pipes it directly into a shell (zsh, sh) or osascript for execution, bypassing macOS security controls like Gatekeeper.
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Tim Peck@timpeck
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Detections.ai Community
9 months ago
82166
Detects when a Python process spawns a shell or a network utility. This behavior can be indicative of Remote Code Execution (RCE) vulnerabilities being exploited in AI/ML libraries (e.g., CVE-2025-23304, CVE-2026-22584) that allow attackers to execute arbitrary code when a malicious model file is loaded.
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Parth Parmar@Cipherom
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Detections.ai Community
9 months ago
240162
Detects when a Python process spawns a shell or a network utility. This behavior can be indicative of Remote Code Execution (RCE) vulnerabilities being exploited in AI/ML libraries (e.g., CVE-2025-23304, CVE-2026-22584) that allow attackers to execute arbitrary code when a malicious model file is loaded.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
40100
Detects the execution of the `iwpriv` utility by an unprivileged user targeting subcommands that are vulnerable to Local Privilege Escalation (LPE) in certain MediaTek Wi-Fi drivers. The exploitation of these vulnerabilities is demonstrated to be possible by unprivileged users, making the execution of kernel-level configuration tools like `iwpriv` by non-root users a highly suspicious activity.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
1043
Detects the MrAgent binary, a deployment tool used in RansomHouse operations to manage compromised ESXi hosts and deploy the 'Mario' encryptor.
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Matt Brady@mbrady5299
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Detections.ai Community
10 months ago
2180
Detects potential exploitation of Oracle E-Business Suite vulnerability CVE-2025-61882, which allows for unauthenticated remote code execution. This rule looks for specific web request URIs, post-exploitation process activity, and known indicators of compromise (IOCs).
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Aaron Mog@AaronMogS2S
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Detections.ai Community
11 months ago
30234
Detects exploitation of a remote code execution vulnerability (CVE-2025-61882) in Oracle E-Business Suite. The attack involves an authentication bypass followed by the upload and execution of a malicious XSLT template, leading to command execution and potential web shell deployment.
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Kevin Gandhi@k3v1nG
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Detections.ai Community
11 months ago
30207
Detects Indicators of Compromise (IOCs) associated with React2Shell (CVE-2025-55182) exploitation attempts. This includes network connections to known malicious IP addresses, DNS queries for attacker-controlled domains, process creations involving suspicious command-line arguments (often related to downloading or executing scripts/binaries), and file hashes of known malicious artifacts. The exploit activity is linked to C2 communication, data exfiltration, and potentially cryptomining activities.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
443609
Detects the creation of a persistent GitHub self-hosted runner named 'SHA1HULUD', a technique used by the Shai-Hulud 2.0 malware for persistence and remote command execution. The rule specifically looks for process command lines containing " --name SHA1HULUD".
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Mehulkumar Savajani@Msavajani
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Detections.ai Community
11 months ago
261256
Detects creation of suspicious files in /var/tmp consistent with FlexibleFerret malware staging behavior on macOS systems.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
4072
Detects curl downloading a file, making it executable with chmod, and executing it in the background, common in FlexibleFerret malware delivery on macOS systems.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
2067
Detects the execution of shell scripts and creation of files associated with the FlexibleFerret macOS malware campaign, which is tied to fake job recruitment lures to trick users into executing malicious commands.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
1067
Detects curl command downloading payloads to /var/tmp, indicating potential initial delivery stage of FlexibleFerret malware.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
2062
Detects extraction of FlexibleFerret malware payload archive to the CDrivers directory on macOS systems.
Effy Elden@ineffyble
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Detections.ai Community
11 months ago
1045
Detects relevant commands often related to malware or hacking activity
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detects the potential abuse of the Linux Magic SysRq (System Request) key by adversaries with root or sufficient privileges
to silently manipulate or destabilize a system. By writing to /proc/sysrq-trigger, they can crash the system, kill processes,
or disrupt forensic analysis—all while bypassing standard logging. Though intended for recovery and debugging, SysRq can be
misused as a stealthy post-exploitation tool. It is controlled via /proc/sys/kernel/sysrq or permanently through /etc/sysctl.conf.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
11 months ago
000
Detects potential command injection attempts against Citrix NetScaler ADC and Gateway devices. This detection is based on the patterns described in a hypothetical proof-of-concept for CVE-2025-7775, which involves injecting shell commands and referencing sensitive system paths in HTTP requests.
Phyo Ko Ko@shank
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Detections.ai Community
11 months ago
3295
Detects the in-memory execution of AppleScript or JXA payloads via osascript, a technique used by the DigitStealer malware to download and run malicious code while evading file-based detections.
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Elgonad .@elgonad
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Detections.ai Community
11 months ago
3070
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