Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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1
Detects two distinct suspicious patterns: first, the deletion of executable files residing in common user-writable temporary directories (e.g., Temp, Downloads, AppData) using command-line tools like 'del' or 'erase', which is often indicative of anti-forensic activity after malware execution. Second, it monitors for network traffic involving HTTP POST requests or specific SOAP headers related to 'tempuri.org', which are commonly associated with default .NET WCF service scaffolding and may be used by adversaries for C2 communication or exfiltration.
This rule detects potential account compromise by identifying 'impossible travel' scenarios where successful logins for the same user occur from different geolocations within a short timeframe (less than 1 hour), specifically when at least one authentication event uses a refresh or session token rather than interactive MFA. It correlates these suspicious logins with previous endpoint infostealer detections on the same device within the last 72 hours, indicating that the token may have been stolen by malware.
Detects two distinct suspicious patterns: first, the deletion of executable files residing in common user-writable temporary directories (e.g., Temp, Downloads, AppData) using command-line tools like 'del' or 'erase', which is often indicative of anti-forensic activity after malware execution. Second, it monitors for network traffic involving HTTP POST requests or specific SOAP headers related to 'tempuri.org', which are commonly associated with default .NET WCF service scaffolding and may be used by adversaries for C2 communication or exfiltration.
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
This rule detects the installation or execution of common Remote Monitoring and Management (RMM) tools (e.g., AnyDesk, ScreenConnect, Atera, Splashtop, TeamViewer) on Windows endpoints within a 4-hour window of associated cloud identity risk activity (such as risky sign-ins, MFA changes, or privilege grants). It filters out legitimate activity initiated via standard software management pipelines (e.g., SCCM, Intune) to identify potential unauthorized use of remote access software by adversaries following account compromise.
Detects the execution of known Windows 'Living-off-the-Land' binaries (rundll32.exe, regsvr32.exe, mshta.exe) when they originate from web browsers or office productivity applications, or when they are executed with command-line arguments indicative of network resource loading, remote scripting, or code execution bypasses.
Detects suspicious cross-process memory operations where a source process requests process creation/write permissions on a target process (e.g., browsers, explorer.exe, or svchost.exe), followed immediately by the execution of a remote thread injection technique such as CreateRemoteThread, QueueUserAPC, or NtCreateThreadEx within the same process pair.
Detects a sequence of activity indicative of data exfiltration preparation. This rule identifies the creation of multiple large archive files (.zip, .rar, .7z) in temporary or staging directories on an endpoint, followed by a network connection transferring a significant volume of data to an external, non-private IP address within a 30-minute window.
Detects the execution of PsExec by identifying the creation of the PSEXESVC remote service or its associated named pipe. It also identifies renamed or masqueraded PsExec binaries by checking file metadata and provides a mechanism to flag unusual source-to-target host account pairings often associated with lateral movement via SMB/Admin Shares.
This rule detects potential process injection activity where a process is created in a suspended state and subsequently performs memory unmapping followed by a remote memory write operation. This behavior targets critical system processes such as svchost, explorer, lsass, services, and spoolsv, which is highly indicative of process hollowing or similar injection techniques used by malicious actors.
Detects the execution of the Microsoft HTML Application host (mshta.exe) when it is used to launch scripts from remote URLs (http/https/ftp) or when it spawns common command-line shells and scripting engines, which is a common indicator of living-off-the-land techniques used to execute malicious payloads.
Detects instances where the WMI service (wmiprvse.exe) spawns common command-line or system tools such as cmd.exe, powershell.exe, or rundll32.exe. This behavior is often indicative of lateral movement or remote command execution via WMI.
Detects common suspicious PowerShell command-line patterns often used for malicious purposes, including base64-encoded command execution, hidden-window execution with common evasion flags, and the use of download/execution cmdlets for in-memory payload delivery.
This rule detects the installation of common AI agent and orchestration frameworks (e.g., LangChain, AutoGen, CrewAI) using command-line package managers (pip, npm, conda) that point to non-standard or unverified package indexes. This behavior is a common indicator of a potential software supply-chain compromise, where an adversary attempts to inject malicious code by forcing the installation of packages from an attacker-controlled source.
IOC hunt across DNS, network, and file-hash telemetry for the Ledger Google Ads phishing campaign. Vercel redirect domains are matched by exact hostname (DNS query name / parsed URL host) rather than substring, eliminating false positives from unrelated strings that merely contain a look-alike domain fragment. GCS bucket and Google Sites path IOCs remain substring-matched since the bucket IDs and page slugs are already highly specific.
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
This rule detects known malicious activity including network connections to a specific C2 IP address (69.48.229.140), downloading files from specific C2 URLs, the presence of known malicious file hashes (SHA256), and communications involving specific actor-associated email addresses.
This rule detects a node.exe process initiating a network connection to a specific remote IP (69.48.229.140) on port 8080, followed by the termination of that same process within 45 seconds of the connection. This behavior is indicative of a short-lived beaconing process or an ephemeral network task associated with command-and-control activity.
Detects anomalous, rapid enumeration of system, network, process, and software configuration settings by AI coding assistant processes (e.g., Claude, Cursor, ChatGPT). This behavior often signifies an AI agent being coerced or configured to perform environment discovery or credential gathering, indicating potential compromise or abuse of the LLM-integrated development environment.
Detects anomalous, rapid enumeration of system, network, process, and software configuration settings by AI coding assistant processes (e.g., Claude, Cursor, ChatGPT). This behavior often signifies an AI agent being coerced or configured to perform environment discovery or credential gathering, indicating potential compromise or abuse of the LLM-integrated development environment.
Detects anomalous, rapid enumeration of system, network, process, and software configuration settings by AI coding assistant processes (e.g., Claude, Cursor, ChatGPT). This behavior often signifies an AI agent being coerced or configured to perform environment discovery or credential gathering, indicating potential compromise or abuse of the LLM-integrated development environment.
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