Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Identifies NetScaler ADC or Gateway software versions in the inventory that are known to be vulnerable to CVE-2026-88771 and CVE-2026-88772, despite having received the patch for CVE-2026-19490.
Detects potential exploitation attempts targeting unpatched Citrix NetScaler ADC or Gateway devices, specifically looking for unauthenticated requests to management or sensitive endpoints that contain command execution indicators. This rule is designed to identify activity associated with vulnerabilities similar to CVE-2026-88771.
Detects potential exploitation attempts targeting unpatched Citrix NetScaler ADC or Gateway devices, specifically looking for unauthenticated requests to management or sensitive endpoints that contain command execution indicators. This rule is designed to identify activity associated with vulnerabilities similar to CVE-2026-88771.
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 unauthorized access, reading, or downloading of sensitive NetScaler system files, including configuration files (ns.conf), licensing files, and cryptographic material (private keys/certificates). This activity often indicates post-exploitation reconnaissance, staging, or data theft attempts following initial access.
This rule performs a point-in-time IOC hunt within CommonSecurityLog data to detect indicators associated with NeedyMantis. It monitors for specific C2 infrastructure domains ('tripswithengine.com') and a hardcoded user-agent string ('Firefox/21.0') in proxy, firewall, or network logs, which are characteristic of this threat actor's activity.
Detects SQL injection exploitation attempts against MOVEit Transfer targeting the CVE-2023-34362 vulnerability, followed by the deployment and subsequent interaction with the 'human2.aspx' webshell associated with Cl0p ransomware mass-exploitation campaigns.
The following analytic identifies DNS queries to domains associated with the 3CX supply chain attack. It leverages the Network_Resolution datamodel to detect these suspicious domain indicators. This activity is significant because it can indicate a potential compromise stemming from the 3CX supply chain attack, which is known for distributing malicious software through trusted updates. If confirmed malicious, this activity could allow attackers to establish a foothold in the network, exfiltrate sensitive data, or further propagate malware, leading to extensive damage and data breaches.
The following analytic detects the use of known suspicious SSL certificates in any observed event where the SSL_CertFingerprint field is present. It leverages Cisco Secure Firewall logs and compares the SSL certificate SHA1 fingerprint against a blacklist of certificates associated with malware distribution, command and control (C2) infrastructure, or phishing campaigns. This activity is significant as adversaries often reuse or self-sign certificates across malicious infrastructure, allowing defenders to track and detect encrypted sessions even when domains or IPs change. If confirmed malicious, this may indicate beaconing, malware download, or data exfiltration over TLS/SSL.
The following analytic detects file transfers flagged as malware that occurred over non-standard ports (other than 80 and 443). Adversaries may attempt to bypass protocol-based detection or use alternate ports to blend in with other traffic. This analytic identifies these non-conventional flows and surfaces potential evasion techniques. If confirmed malicious this indicate potential malware delivery or other nefarious activity.
The following analytic detects repeated malware file downloads initiated by the same internal host (src) within a short time window. It leverages Cisco Secure Firewall Threat Defense logs and identifies `FileEvent` events with a `SHA_Disposition` of "Malware" and `FileDirection` set to "Download". If ten or more such events occur from the same host within five minutes, this analytic will trigger. This activity may indicate the host is compromised and repeatedly retrieving malicious content either due to command-and-control, malware staging, or automation. If confirmed malicious, this behavior may represent an infection in progress, persistence mechanism, or a malicious downloader.
This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of Remote Monitoring and Mangement applications. This activity can signify possible compromised hosts on the network.
This rule detects outbound TLS traffic to the domain 'trace-flow.ru', which is associated with Max Messenger covert telemetry beaconing behavior. The rule inspects the Server Name Indication (SNI) field in the TLS handshake for the specific domain string.
Detects HTTP GET requests for files with a .hta extension, utilizing a legacy Internet Explorer User-Agent string. This pattern is commonly associated with SideCopy threat group activities where mshta.exe is used to proxy the execution of remotely hosted malicious HTA files, often as part of an initial infection chain.
Detects HTTP beacon traffic patterns indicative of Cobalt Strike malleable C2 profiles using default URI paths and User-Agent strings. This rule identifies common default configurations often left unchanged during adversarial deployment, allowing for the detection of beacon communication over HTTP.
Detects unauthenticated path traversal attempts targeting Grav CMS web servers. The rule identifies HTTP requests containing directory traversal sequences (e.g., ../, %2e%2e%2f) directed at sensitive configuration files (.yaml) or directories (/user/config, /system/config), consistent with exploitation patterns such as CVE-2026-42608.
Detects network traffic matching the default HTTP check-in pattern of Mythic C2 agents. This rule monitors for POST requests using a specific hardcoded User-Agent string and Content-Type header commonly used in default Mythic agent configurations, indicating a potential active command-and-control session.
Detects specific markers in UDP traffic on ports 3478, 5349, and 443 that are associated with the DragonForce malware's TRN1 C2 beaconing protocol. The rules identify session initiation, task polling, task acknowledgment, and result uploading behaviors.
Detects a suspicious sequence of events involving NetScaler ADC or Gateway appliances: anomalous account authentication, followed by the establishment of a VPN or remote access session, and subsequent unusual outbound network activity indicating potential lateral movement or C2 communication from the appliance.
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
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