Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; a weighted score (script-mixing=2, homoglyph=3, high-confidence phishing vocabulary=2, threshold=6) means no two of the three signal categories can reach the threshold alone — all three must co-occur before the rule fires.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; a weighted score (script-mixing=2, homoglyph=3, high-confidence phishing vocabulary=2, threshold=6) means no two of the three signal categories can reach the threshold alone — all three must co-occur before the rule fires.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; a weighted score (script-mixing=2, homoglyph=3, high-confidence phishing vocabulary=2, threshold=6) means no two of the three signal categories can reach the threshold alone — all three must co-occur before the rule fires.
Detects phishing messages that deliberately mix writing systems/scripts/homoglyphs in the Subject line as ONE corroborating signal within a broader, multi-signal phishing pattern. Hardened against false positives: brand/product tokens (e.g. Microsoft, PayPal) are stripped before the Latin-script check so a lone brand mention in non-Latin correspondence doesn't count as mixed-script; a weighted score (script-mixing=2, homoglyph=3, high-confidence phishing vocabulary=2, threshold=6) means no two of the three signal categories can reach the threshold alone — all three must co-occur before the rule fires.
Detects known Cobalt Strike default named pipe naming conventions and cross-process reflective DLL injection activities into common Windows host processes such as rundll32.exe, svchost.exe, and others. This rule monitors for suspicious named pipe creation events and process memory manipulation patterns indicative of beacon behavior and post-exploitation injection.
Detects autonomous behavior where AI-driven processes attempt multiple network connections (SMB, SSH, HTTP, RDP, WinRM) to diverse targets following failed access attempts. The rule correlates initial failure activity with subsequent credential-related events and new lateral movement traffic from the same agent process within a short window, suggesting adaptive adversary pivoting.
Detects autonomous behavior where AI-driven processes attempt multiple network connections (SMB, SSH, HTTP, RDP, WinRM) to diverse targets following failed access attempts. The rule correlates initial failure activity with subsequent credential-related events and new lateral movement traffic from the same agent process within a short window, suggesting adaptive adversary pivoting.
Detects autonomous behavior where AI-driven processes attempt multiple network connections (SMB, SSH, HTTP, RDP, WinRM) to diverse targets following failed access attempts. The rule correlates initial failure activity with subsequent credential-related events and new lateral movement traffic from the same agent process within a short window, suggesting adaptive adversary pivoting.
Detects an suspicious progression of activities originating from identified AI assistant/agent processes. The rule monitors for a chain of behaviors occurring within a 15-minute window: execution of an AI agent/tool, followed by host discovery (network/system enumeration), access to sensitive local credential files, archival of data, and outbound network communication to common file-sharing/exfiltration platforms.
This rule detects potential AI prompt injection attacks delivered via email. It identifies users clicking external links directed at AI platforms (like OpenAI, Claude, or Perplexity) that contain suspicious URL parameters or instructions designed to manipulate or override the AI's standard behavior. It correlates the web request with a subsequent process execution on the host that includes suspicious keywords in the command line, suggesting an attempt to automate or exploit the AI assistant through local system interaction.
This rule detects potentially compromised accounts by correlating risky Entra ID sign-ins to Citrix NetScaler with subsequent VPN session establishment followed by rapid, high-volume outbound connection activity from the source IP address. This pattern is indicative of a threat actor using compromised credentials to gain access via VPN and immediately perform internal network scanning or data staging.
Detects SectopRAT (Arechclient2) .NET RAT binaries deployed via tampered libcef.dll / JetBrains helper DLL sideloading that harvest browser credentials, cookies, credit card data, and files. Tightened to require combined sideload+family+target indicators plus .NET CLR import evidence, avoiding standalone generic strings.
Detects two-stage phishing activity involving an initial visit to a Vercel-hosted lure page followed by the exfiltration or relay of fingerprinting and sandbox-evasion results to api.telegram.org.
Detects execution of mshta.exe when initiated by common office or web browser applications, or when command arguments include external network references (URLs/UNC paths) or script protocols (vbscript/javascript), which are common patterns for LOLBAS-based initial access or exploitation.
Detects a multi-stage infection chain associated with RedFlick, involving the delivery of VHDX files or PDF attachments. The rule correlates malicious activities such as SSH-based tool download (using PermitLocalCommand), PowerShell-based PDF decoding/extraction, PowerShell VHDX disk mounting, and silent MSI installation from remote URLs. It monitors for these activities within user-writable directories like Downloads or Temp.
Detects a multi-stage infection chain associated with RedFlick, involving the delivery of VHDX files or PDF attachments. The rule correlates malicious activities such as SSH-based tool download (using PermitLocalCommand), PowerShell-based PDF decoding/extraction, PowerShell VHDX disk mounting, and silent MSI installation from remote URLs. It monitors for these activities within user-writable directories like Downloads or Temp.
Detects Bitsadmin connections to domains with uncommon TLDs
This rule detects potential persistence via scheduled tasks that masquerade as legitimate network components (e.g., 'System Health Monitor'), as well as abnormal use of WebDav via rundll32.exe or net.exe in the context of the Star Blizzard (COLDRIVER) campaign. It monitors for task creation/updates, schtasks command lines, registry artifacts related to task scheduling, and suspicious WebDav network utility usage, while excluding common security tool processes.
This rule detects activities associated with the Star Blizzard (also known as APT28 or Callisto) group's CosmicPulse malware, specifically the downloader and Python-based backdoor. It monitors for suspicious CPL file execution via UNC paths by rundll32.exe or control.exe, unauthorized modifications to the HKCU\Software\Classes\.mollis registry key used for COM hijacking, and anomalous spawning of Python executables from control host processes in user-writable directories.
Detects execution of potentially malicious or dual-use tools (such as credential dumpers or security-bypass utilities) from within ScreenConnect temporary directories via the 'RunFile' command. This is indicative of an attacker leveraging legitimate remote support software to deploy secondary payloads.
Detects execution of potentially malicious or dual-use tools (such as credential dumpers or security-bypass utilities) from within ScreenConnect temporary directories via the 'RunFile' command. This is indicative of an attacker leveraging legitimate remote support software to deploy secondary payloads.
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