Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects DNS lookups, TLS connections, and network traffic associated with the PoeLLM cryptominer communicating with Kryptex mining pools, as well as Stratum mining protocol login attempts.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
The following analytic detects the execution of curl commands with insecure flags within the Cisco Isovalent environment. It identifies this activity by monitoring process execution logs for curl commands that use the -k or --insecure flags. This behavior is significant for a SOC as it could allow an attacker to bypass SSL/TLS verification, potentially exposing the Kubernetes infrastructure to man-in-the-middle attacks. If confirmed malicious, this activity could lead to data interception, service disruptions, or unauthorized access to sensitive information.
The following analytic detects attempts to access or dump the contents of /etc/passwd and /etc/shadow files on Linux systems. It leverages data from Linux Auditd, focusing on processes like 'cat', 'nano', 'vim', and 'vi' accessing these files. This activity is significant as it may indicate credential dumping, a technique used by adversaries to gain persistence or escalate privileges. If confirmed malicious, privileges. If confirmed malicious, attackers could obtain hashed passwords for offline cracking, leading to unauthorized access and potential system compromise.
The following analytic detects the suspicious use of the whoami command, which may indicate an attacker trying to gather information about the current user account on a compromised system. The whoami command is commonly used to verify user privileges and identity, especially during initial stages of an attack to assess the level of access. By monitoring for unusual or unauthorized executions of whoami, this analytic helps in identifying potential reconnaissance activities, enabling security teams to take action before the attacker escalates privileges or conducts further malicious operations.
The following analytic detects the use of the curl command with specific switches (-F, --form, --upload-file, -T, -d, --data, --data-raw, -I, --head) to upload AWS credentials or configuration files to a remote destination. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions and process details. This activity is significant as it may indicate an attempt to exfiltrate sensitive AWS credentials, a technique known to be used by the TeamTNT group. If confirmed malicious, this could lead to unauthorized access and potential compromise of AWS resources.
The following analytic detects the behavior of decoding base64-encoded data and passing it to a Linux shell. Additionally, it mitigates the potential damage and protects the organization's systems and data.The detection is made by searching for specific commands in the Splunk query, namely "base64 -d" and "base64 --decode", within the Endpoint.Processes data model. The analytic also includes a filter for Linux shells. The detection is important because it indicates the presence of malicious activity since Base64 encoding is commonly used to obfuscate malicious commands or payloads, and decoding it can be a step in running those commands. It suggests that an attacker is attempting to run malicious commands on a Linux system to gain unauthorized access, for data exfiltration, or perform other malicious actions.
The following analytic identifies the use of the 'kmod' process to list kernel modules on a Linux system. This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. While listing kernel modules is not inherently malicious, it can be a precursor to loading unauthorized modules using 'insmod'. If confirmed malicious, this activity could allow an attacker to load kernel modules, potentially leading to privilege escalation, persistence, or other malicious actions within the system.
The following analytic detects the modification of SSH Authorized Keys on Linux systems. It leverages process execution data from Endpoint Detection and Response (EDR) agents, specifically monitoring commands like "bash" and "cat" interacting with "authorized_keys" files. This activity is significant as adversaries often modify SSH Authorized Keys to establish persistent access to compromised endpoints. If confirmed malicious, this behavior could allow attackers to maintain unauthorized access, bypassing traditional authentication mechanisms and potentially leading to further exploitation or data exfiltration.
Sweeps network connection, HTTP/proxy, file, and process telemetry for exact matches against known Cling botnet indicators: dedicated STUN C2/operator IPs, Cling MIPS loader staging URLs, and known Cling sample SHA256 hashes. Tightened to exclude broad domain-level matching on stun.l.google.com (legitimate, ubiquitous Google STUN infrastructure that Cling spoofs/abuses rather than owns) and to match payload-staging hosts only by full URL rather than bare IP, reducing false positives from shared/compromised hosting and unrelated legitimate STUN traffic.
Sweeps network connection, HTTP/proxy, file, and process telemetry for exact matches against known Cling botnet indicators: dedicated STUN C2/operator IPs, Cling MIPS loader staging URLs, and known Cling sample SHA256 hashes. Tightened to exclude broad domain-level matching on stun.l.google.com (legitimate, ubiquitous Google STUN infrastructure that Cling spoofs/abuses rather than owns) and to match payload-staging hosts only by full URL rather than bare IP, reducing false positives from shared/compromised hosting and unrelated legitimate STUN traffic.
Detects a node/npm/npx process writing to a Unix shell startup file (.zshrc, .zprofile, .bashrc, .bash_profile) immediately after package install activity. STARDUST CHOLLIMA (DPRK-nexus) used stolen maintainer credentials to compromise the Axios npm package and deliver platform-specific "ZshBucket" malware, and separately injected a malicious dependency into 131 Mastra AI framework packages. Malicious postinstall scripts modifying shell profiles is a persistence mechanism consistent with this campaign's naming and delivery pattern.
Detects execution of esxcli syslog configuration commands where the command
itself is reconstructed at runtime from hex escape sequences, octal escape sequences, an
awk BEGIN block, or a Python chr()-based decoder before being reset against loghost.
CrowdStrike cataloged this pattern across 21 ESX BusyBox obfuscation techniques used to
hide 'esxcli system syslog config set --reset=loghost' from cleartext shell log review.
Threat actors including SCATTERED SPIDER, BlackBasta, Royal/BlackSuit, and Akira use this
to sever centralized log forwarding from a compromised ESXi host immediately before
encrypting the datastore.
itself is reconstructed at runtime from hex escape sequences, octal escape sequences, an
awk BEGIN block, or a Python chr()-based decoder before being reset against loghost.
CrowdStrike cataloged this pattern across 21 ESX BusyBox obfuscation techniques used to
hide 'esxcli system syslog config set --reset=loghost' from cleartext shell log review.
Threat actors including SCATTERED SPIDER, BlackBasta, Royal/BlackSuit, and Akira use this
to sever centralized log forwarding from a compromised ESXi host immediately before
encrypting the datastore.
This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
This rule detects indicator of compromise (IOC) sweep events associated with the AhsayCBS campaign (CVE-2026-105133 and CVE-2026-105134) involving XMRig cryptominer activity. It checks for specific file and process SHA256 hashes, remote IP addresses, and domain connections related to known mining pools or attacker infrastructure using Sentinel Device tables.
Detects an unauthenticated remote code execution attempt against AhsayCBS via the UpdateReceivers.do endpoint using the checkSysPwd parameter, associated with CVE-2026-105133 and CVE-2026-105134.
Detects an unauthenticated remote code execution attempt against AhsayCBS via the UpdateReceivers.do endpoint using the checkSysPwd parameter, associated with CVE-2026-105133 and CVE-2026-105134.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
Detects endpoint and network activity matching known Indicators of Compromise (IOCs) associated with BPFDoor, AVERAT, and Rekoobe backdoors based on Rapid7 research. The query checks for specific file hashes, IP addresses, and domain names across process, file, image load, network, and DNS events.
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