Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
Detects instances where a process writes to known persistence locations, including Windows Registry Run keys, the Windows Startup folder, Linux shell profile configuration files (.bashrc/.bash_profile), and system-level task directories (cron and systemd units). This activity is often indicative of malicious persistence mechanisms, such as those used by compromised AI agents or backdoors to survive system reboots.
Detects a system shell/interpreter copied or moved into a writable or non-standard path -
the precursor to the 'copy /bin/bash, set SUID, run bash -p' misconfiguration abuse and a
common staging step in the page-cache PoCs. Enriched with source/destination decode, an
inline-SUID-intent flag (chmod +s / chmod 4755 / install -m / setcap in the same command),
masquerade flags (renamed, hidden dotfile, system-lookalike name), a weighted RiskScore /
TriagePriority and DeviceInfo context. Pairs with OS-DET-LNX-006 and correlation
OS-DET-LNX-007. Detection logic adapted from Elastic Security Labs.
the precursor to the 'copy /bin/bash, set SUID, run bash -p' misconfiguration abuse and a
common staging step in the page-cache PoCs. Enriched with source/destination decode, an
inline-SUID-intent flag (chmod +s / chmod 4755 / install -m / setcap in the same command),
masquerade flags (renamed, hidden dotfile, system-lookalike name), a weighted RiskScore /
TriagePriority and DeviceInfo context. Pairs with OS-DET-LNX-006 and correlation
OS-DET-LNX-007. Detection logic adapted from Elastic Security Labs.
Detects evidence of exploitation and post-exploitation activity related to CVE-2026-59310, an unauthenticated RCE vulnerability in the VMware vCenter Syslog Server. The rule monitors for suspicious child processes spawned by vmsyslogcollector, directory traversal patterns in command lines, and persistence mechanisms involving SSH authorized_keys modification, cron job creation, or systemd unit deployment on the VCSA shell.
Detects a specific multi-stage exfiltration pattern characterized by initial reconnaissance/fingerprinting probes against sensitive service endpoints (/health, /docs, /openapi.json) followed by unauthorized access to artifact storage endpoints (/files or /file?name=) from the same device against the same host within a short timeframe.
Detects the use of standard Linux command-line utilities (e.g., cat, curl, vi) to read or reference sensitive cloud credential files or Kubernetes service account tokens. This behavior is a common indicator of credential theft or discovery activities following initial access to a Linux host.
Detects execution of shell commands containing obfuscated patterns (such as base64 decoding, hex character sequences, or piped commands) when spawned by core Citrix NetScaler service processes (nsppe, httpd, or nsaaad). This behavior is often indicative of exploitation attempts or post-exploitation activities on network appliances.
Detects unauthorized access to or generation of Citrix NetScaler core dump files, trace outputs, or memory diagnostic artifacts. These artifacts are high-value targets for attackers, such as those exploiting CVE-2026-88772, who attempt to extract session tokens, credentials, and sensitive data residing in memory via these diagnostic mechanisms.
Detects command-line activity attempting to disable, unbind, or remove NetScaler AppFW (Web Application Firewall) profiles, signatures, or security policies. This activity is indicative of defense evasion following the exploitation of CVE-2026-88771 or CVE-2026-88772 to suppress security alerting on follow-on malicious activity.
Detects high volumes of DTLS/UDP session-initiation traffic targeting NetScaler VPN virtual servers that are immediately followed by appliance-level error logs or crashes. This behavior is indicative of active probing or exploitation attempts, such as those associated with CVE-2026-88772, where malicious payloads cause service instability.
Detects unauthorized or external access attempts to the Ollama LLM API service (TCP port 11434). The rule specifically flags POST requests targeting the /api/generate or /api/chat endpoints, which are commonly exposed via misconfiguration or lack of authentication, potentially allowing remote command execution or model exploitation.
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
Detects the PoeLLM ELF payload (masquerading as libgcrypt) via Italian-language poem/agent log strings and embedded LiteLLM MCP exploit strings
Detects command-line activity attempting to disable, unbind, or remove NetScaler AppFW (Web Application Firewall) profiles, signatures, or security policies. This activity is indicative of defense evasion following the exploitation of CVE-2026-88771 or CVE-2026-88772 to suppress security alerting on follow-on malicious activity.
Detects anomalous lateral movement behavior where a successful NetScaler VPN or gateway session is followed immediately by internal remote service logons (RDP, SSH, WinRM) or network connections from the same source IP. This pattern is indicative of potential exploitation of Citrix NetScaler vulnerabilities (e.g., CVE-2026-88771, CVE-2026-88772) or credential abuse to move laterally into the internal environment.
Detects execution of common package managers (npm, npx, yarn, pnpm, node) attempting to install or execute suspicious packages identified as malicious. The rule correlates process command-line arguments containing known malicious package names with subsequent file activity within node_modules directories, indicating potential software supply chain compromise attempts.
This rule detects the use of 'docker cp' or 'sbx cp' commands which are susceptible to the CVE-2026-17106 (CopyEscape) vulnerability. This vulnerability allows a compromised container to perform arbitrary file writes or overwrites on the host system during archive extraction, potentially leading to container escape and privilege escalation by replacing critical system binaries like runc.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration.
It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names.
This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
It leverages process activity data from Endpoint Detection and Response (EDR) agents, focusing on known attacker tool names.
This activity is significant because it serves as an early warning system for potential security incidents, enabling prompt response. If confirmed malicious, this activity could lead to unauthorized access, data theft, or further network compromise, posing a severe threat to the organization's security infrastructure.
This analytic detects suspicious python package installations where the package name resembles popular Python libraries but may be typosquatted or slightly altered.
Typosquatting is a common technique used by attackers to trick users into installing malicious packages that mimic legitimate ones.
This detection leverages Cisco NVM flow telemetry and checks for pip or poetry package managers with the "install" or "add" flags, making outbound connections to package repository such as `pypi.org` with known or suspected typo package names.
Typosquatting is a common technique used by attackers to trick users into installing malicious packages that mimic legitimate ones.
This detection leverages Cisco NVM flow telemetry and checks for pip or poetry package managers with the "install" or "add" flags, making outbound connections to package repository such as `pypi.org` with known or suspected typo package names.
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