Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects Microsoft 365 sign-in events where a session token is reused without a fresh MFA challenge, originating from known residential proxy service providers. This behavior is indicative of threat actors using stolen session tokens (Session Replay) to bypass MFA protections.
This rule monitors for specific PowerShell command-line patterns often associated with malicious activity, including 'ClickFix' clipboard-paste lures (using iex/irm with sleep timers), evasion techniques involving pscustomobject/ScriptBlock, and WinHttp COM object usage for stage-2 payload fetching. These patterns are characteristic of adversary attempts to bypass security controls and download secondary implants.
This rule detects two suspicious patterns: 1) DLL sideloading of 'libcef.dll' by processes like 'ClaudeDesktop.exe' or JetBrains-related tools when executed from non-standard directories like 'Downloads', 'Temp', or 'AppData'. 2) Unauthorized access to common browser credential storage files (e.g., 'Login Data', 'Cookies') by processes other than standard browsers.
Detects a DLL created or modified directly under C:\Windows\System32 that is then loaded into a process within 30 minutes of its creation. This creation-to-load temporal correlation is a durable indicator of a dropped-and-loaded malicious module (as used by the HardBreacher/SolidSnake exploit chain), independent of the DLL's filename. Signer/trust correlation intentionally omitted (DeviceFileCertificateInfo not part of this environment's ingested telemetry).
This rule monitors for indicators of compromise (IOCs) and behavioral patterns associated with the Lazarus Group's 'Operation Dream Job' campaign. It tracks known malicious hashes, domains, and IP addresses, alongside suspicious activities such as PDF viewer abuse, DLL side-loading, process injection, persistence mechanism creation (Registry/Scheduled Tasks), and recruitment-themed phishing lures.
Detects a discrepancy between the SHA256 hash of a running process image (via /proc/<pid>/exe on Linux) and the hash of the corresponding binary file on disk. This behavior is indicative of process memory manipulation, such as fileless execution or binary replacement, where the code currently running in memory does not match the original file on disk.
Detects instances where the Grafana MCP (Model Context Protocol) server's service account identity executes administrative tools (such as 'grafana_api_request') within a session that lacks a verified, prior authentication event (bearer token). This pattern suggests an adversary may be spoofing or hijacking a privileged service account session to perform unauthorized administrative actions.
Detects non-interactive sign-in events involving OIDC or external authentication tokens shortly after a known Coder registry compromise. The rule flags high-risk or at-risk single-factor authentication sessions, which may indicate the replay of stolen tokens harvested during the compromise window.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects successful Azure AD sign-ins where the user agent identifies as a Python requests library version (2.33.1 or 2.34.2) that has not been observed for that specific user account in the preceding 14 days. This behavior is indicative of anomalous automated or scripted access.
Detects anomalous remote interactive or network logons where the specific account and remote host/IP combination has not been observed in the previous 14 days. The rule correlates these new login events with subsequent process execution on the destination host within a short window (5 minutes) to identify potential lateral movement where an adversary uses valid credentials to log in and immediately execute commands.
Detects the execution of msiexec.exe referencing a 'Temp.txt' file located within the user's AppData Local Temp directory, which matches a known suspicious file hash. This pattern often indicates an attempt to proxy the execution of malicious payloads via the Windows Installer utility.
Detects a GitLab personal access token/response indicating Owner-level (access_level 50) group access combined with the broad 'api' scope on the sensitive gnutls/gnutls project -- the excessive standing-privilege pattern that turned one leaked token into a 55-project exposure.
Detects Linux processes masquerading as 'php-fpm' or 'postgres' that match known SHA-256 hashes associated with the RedTail malware family. The rule identifies processes attempting to hide their identity using techniques similar to prctl(PR_SET_NAME) to rename themselves while running malicious code.
Detects the creation or modification of crontab files, as well as the execution of crontab commands, that involve suspicious paths (e.g., /tmp, /var/tmp, /dev/shm, hidden files) or command obfuscation techniques such as base64 encoding. This behavior is often associated with the establishment of persistence by adversaries.
Detects rapid, repetitive queries to system hardware identifiers (DMI, CPU info, virtualization attributes) commonly used by adversaries for reconnaissance or environment awareness (sandbox detection). The rule identifies suspicious behavior by tracking the execution of commands like 'cat', 'grep', or 'dmidecode' that target sensitive Linux system files (e.g., /sys/devices/virtual/dmi/id/*, /proc/cpuinfo) when performed by non-standard parent processes in a short time window.
This rule detects activities associated with the 'clean.sh' script often used by cryptocurrency miners to remove competing miner processes, terminate services, clear persistence mechanisms (cron jobs), and delete artifacts from temporary directories like /tmp, /var/tmp, or /dev/shm.
Detects the execution of an unsigned 7z.exe that loads an unsigned 7z.dll from a public, user-writable directory (C:\Users\Public\Documents). The rule specifically looks for the creation of the DLL shortly before it is loaded, indicating potential DLL side-loading to bypass security controls using a renamed or modified archive utility.
Detects anomalous authentication attempts where a single source IP validates a high volume of distinct Service Principal or App Client IDs within a short timeframe with a high failure rate. This pattern is indicative of attackers performing bulk validation of stolen API keys or OAuth credentials, likely harvested through mobile application decompilation (APK/IPA analysis).
Detects instances where 'ERAAgent.exe', part of the ESET Remote Administrator agent, loads the 'dpapi.dll' library from a location outside of standard Windows System directories (System32 or SysWOW64). Furthermore, the rule flags this behavior if the loaded 'dpapi.dll' file is either unsigned or contains an untrusted digital signature, which may indicate a malicious DLL side-loading or masquerading attempt to access protected system credentials.
This rule detects the use of raw sockets by 'ERAAgent.exe' by monitoring for socket I/O control (Ioctl) operations involving 'SIO_RCVALL'. This configuration, often associated with promiscuous mode, allows an application to capture all network traffic received by the network interface, a behavior commonly used by network sniffing tools or malicious implants to intercept sensitive data.
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