Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts to exploit CVE-2025-32433, a remote code execution vulnerability in the Erlang/OTP SSH daemon. The exploit involves sending SSH connection protocol messages (codes >= 80) before authentication is complete.
Detects high and critical severity correlation events generated by Palo Alto Networks firewalls' automated correlation engine. The correlation engine connects isolated network events and looks for patterns that indicate a more significant event. This helps identify suspicious traffic patterns and network anomalies which, when correlated, indicate with a high probability that a host on the network has been compromised.
Detects medium severity correlation events generated by Palo Alto Networks firewall's automated correlation engine. The correlation engine connects isolated network events and looks for patterns that indicate a more significant event. This helps identify suspicious traffic patterns and network anomalies which, when correlated, indicate with a high probability that a host on the network has been compromised.
This analytic detects exploitation activity of CVE-2025-5777 using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signature 65118 (Citrix NetScaler memory overread attempt) is triggered. If confirmed malicious, this behavior is highly indicative of a potential exploitation of CVE-2025-5777.
This analytic identifies high-severity intrusion events based on the classification assigned to Snort rules within Cisco Secure Firewall logs. It leverages Cisco Secure Firewall Threat Defense logs and focuses on events classified as: A Network Trojan was Detected, Successful Administrator Privilege Gain, Successful User Privilege Gain, Attempt to Login By a Default Username and Password, Known malware command and control traffic, Known malicious file or file based exploit, Known client side exploit attempt, Large Scale Information Leak. These classifications typically represent significant threats such as remote code execution, credential theft, lateral movement, or malware communication. Detection of these classifications should be prioritized for immediate investigation.
This analytic detects exploitation activity of CVE-2023-27532 using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signature 61514 (Veeam Backup and Replication credential dump attempt) is followed within a 5-minute window by 64795 (Veeam Backup and Replication xp_cmdshell invocation attempt), which detects the use of `xp_cmdshell`, a common post-exploitation technique. If confirmed malicious, this behavior is highly indicative of a successful exploitation of CVE-2023-27532, followed by remote command execution or credential dumping.
This analytic detects Lumma Stealer activity using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where four or more specific Snort signature IDs occur within a 15-minute span from the same host. This behavior is highly indicative of a successful infection by Lumma Stealer.
This analytic detects Lumma Stealer download attempts using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signatures with specific IDs have been triggered. If confirmed malicious, this behavior could indicate an active infection of Lumma Stealer.
This analytic detects Lumma Stealer outbound connection attempts using Cisco Secure Firewall Intrusion Events. It leverages Cisco Secure Firewall Threat Defense IntrusionEvent logs to identify cases where Snort signatures with specific IDs have been triggered. If confirmed malicious, this behavior could indicate an active infection of Lumma Stealer.
This analytic identifies Snort signatures that have triggered only once in the past 7 days across all Cisco Secure Firewall IntrusionEvent logs. While these rules typically do not trigger in day-to-day network activity, their sudden appearance may indicate early-stage compromise, previously unseen malware, or reconnaissance activity against less commonly exposed services. Investigating these outliers can provide valuable insight into new or low-noise adversary behaviors.
This analytic identifies internal systems that generate a high volume of intrusion detection events within a 30-minute window, specifically leveraging Cisco Secure Firewall Threat Defense logs. It counts hosts that trigger 15 or more Snort-based signatures. A sudden increase in intrusion alerts from a single host can indicate malicious activity such as malware execution, command-and-control communication, vulnerability scanning, or lateral movement. It may also be caused by misconfigured software. Systems exhibiting this pattern require prompt investigation as repeated Snort rule matches are often early indicators of compromise or active exploitation.
This analytic highlights high-impact intrusion events detected by Cisco Secure Firewall. It leverages Cisco Secure Firewall Threat Defense logs, specifically the IntrusionEvent event type, and focuses on events with an `Impact` score of 1 or 2. If confirmed malicious, these events may indicate a potentially compromised host.
This analytic identifies Snort intrusion signatures that have been triggered by ten or more distinct internal IP addresses within a one-hour window. It leverages Cisco Secure Firewall Threat Defense logs and focuses on the IntrusionEvent event type to detect activity that may indicate broad targeting or mass exploitation attempts. This behavior is often associated with opportunistic scanning, worm propagation, or automated exploitation of known vulnerabilities across multiple systems. If confirmed malicious, this could represent the early phase of a coordinated attack aiming to gain a foothold on several hosts or move laterally across the environment.
This analytic detects internal hosts triggering multiple IDS signatures, which may include either more than 25 signatures against a single host or a single signature across over 25 destination IP addresses. Such patterns can indicate active vulnerability scanning activities within the network. By monitoring IDS logs, this detection helps identify and respond to potential vulnerability scanning attempts, enhancing the network's security posture and preventing potential exploits.
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