Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects attempts to exploit the ConnectWise ScreenConnect CVE-2024-1709 vulnerability, which allows attackers to bypass authentication via alternate paths or channels. It leverages Nginx access logs to identify web requests to the SetupWizard.aspx page, indicating potential exploitation. This activity is significant as it can lead to unauthorized administrative access and remote code execution. If confirmed malicious, attackers could create administrative users and gain full control over the affected ScreenConnect instance, posing severe security risks. Immediate remediation by updating to version 23.9.8 or above is recommended.
Detects DNS queries containing patterns associated with Kerberos coercion attacks via DNS object spoofing.
The pattern "1UWhRCAAAAA..BAAAA" is a base64-encoded signature that corresponds to a marshaled CREDENTIAL_TARGET_INFORMATION structure.
Attackers can use this technique to coerce authentication from victim systems to attacker-controlled hosts.
It is one of the strong indicators of a Kerberos coercion attack, where adversaries manipulate DNS records
to spoof Service Principal Names (SPNs) and redirect authentication requests like CVE-2025-33073.
The pattern "1UWhRCAAAAA..BAAAA" is a base64-encoded signature that corresponds to a marshaled CREDENTIAL_TARGET_INFORMATION structure.
Attackers can use this technique to coerce authentication from victim systems to attacker-controlled hosts.
It is one of the strong indicators of a Kerberos coercion attack, where adversaries manipulate DNS records
to spoof Service Principal Names (SPNs) and redirect authentication requests like CVE-2025-33073.
The following analytic detects attempts to exploit the CVE-2024-27198 vulnerability in JetBrains TeamCity on-premises servers, which allows attackers to bypass authentication mechanisms. It leverages Suricata HTTP traffic logs to identify suspicious POST requests to the `/app/rest/users` and `/app/rest/users/id:1/tokens` endpoints. This activity is significant because it can lead to unauthorized administrative access, enabling attackers to gain full control over the TeamCity server, including projects, builds, agents, and artifacts. If confirmed malicious, this could result in severe security breaches and compromise the integrity of the development environment.
This rule detects suspicious access to files with sensitive extensions commonly associated with email archives, database files, memory dumps, and remote desktop connection files. Monitoring access to these file types can indicate attempts at data collection, credential dumping, or lateral movement preparation by adversaries.
This analytic detects suspicious downloads from common file sharing and content delivery platforms using known living-off-the-land binaries (LOLBins) such as 'curl.exe', 'certutil.exe', 'msiexec.exe', 'powershell.exe', 'wmic.exe', and others. It leverages Cisco Network Visibility Module logs to correlate network flow activity with process context, including command-line arguments, process path, and parent process information. These tools are often abused by adversaries and malware to retrieve payloads from public hosting platforms such as GitHub, Discord CDN, Transfer.sh, or Pastebin. This detection helps identify potential initial access, payload staging, or command and control activity using legitimate services.
Detects potential command injection attempts in the body of HTTP POST requests. Attackers, such as those operating the RondoDoX botnet, exploit unsanitized input fields in web interfaces of SOHO routers, IoT devices, and other applications to execute arbitrary commands. This rule looks for common command-line tools and shell characters within the POST body, particularly in requests targeting parameters known to be vulnerable.
Detects potential Distributed Denial of Service (DDoS) attacks or rate limit abuse against Ollama API endpoints by identifying excessive request volumes from individual client IP addresses. This detection monitors GIN-formatted Ollama server logs to identify clients generating abnormally high request rates within short time windows, which may indicate automated attacks, botnet activity, or resource exhaustion attempts targeting local AI model infrastructure.
Detects API reconnaissance and endpoint scanning activity against Ollama servers by identifying sources probing multiple API endpoints within short timeframes, particularly when using HEAD requests or accessing diverse endpoint paths, which indicates systematic enumeration to map the API surface, discover hidden endpoints, or identify vulnerabilities before launching targeted attacks.
The analytic detects potential data exfiltration using plain HTTP POST requests. It monitors network traffic logs, specifically the `stream_http` data source, for POST methods containing suspicious form data such as "wermgr.exe", "svchost.exe", "name=\"proclist\"", "ipconfig", "name=\"sysinfo\"", or "net view". This activity is commonly associated with malware like Trickbot, trojans, keyloggers, or APT adversaries, which use plain text HTTP POST requests to communicate with remote C2 servers. If confirmed malicious, this activity could lead to unauthorized data exfiltration, compromising sensitive information and potentially leading to further network infiltration.
Detects network connections to the Discord API from non-Discord processes, a behavior associated with the ChaosBot malware.
Detects the initial access attempt for the Oracle E-Business Suite vulnerability CVE-2025-61882. This involves a crafted POST request to the UiServlet component containing a malicious XML payload.
Detects a potential Oracle E-Business Suite (EBS) authentication bypass attempt, associated with the exploitation of CVE-2025-61882. This activity involves an HTTP POST request to the '/OA_HTML/SyncServlet' endpoint, which is the initial step observed in the exploit chain used by threat actors like GRACEFUL SPIDER.
Detects HTTP responses containing JavaScript associated with ClickFix phishing kits. These kits manipulate the DOM to mimic browser verification pages and trick users into copying and executing malicious commands.
Detects a variety of HTTP exploitation attempts associated with the RondoDox botnet campaign. This campaign uses a 'shotgun' approach, targeting numerous vulnerabilities in internet-facing devices like routers, DVRs, and web servers.
Windows DCE-RPC functions which indicate an execution techniques on the remote system. All credit for the Zeek mapping of the suspicious endpoint/operation field goes to MITRE
This rule detects potential Domain Generation Algorithm (DGA) activity by analyzing network connection logs. It identifies suspicious domains based on their structure (length, character set) and then filters them using a trigram analysis. Domains with non-repeating trigrams and rare trigrams (not found in a baseline of Alexa Top 1M domains) are flagged as DGA candidates. The rule then joins these candidates back to the original network logs to identify actual connections to these suspicious domains.
This rule detects VPN connections originating from countries that are not the user's usual work country. It leverages VPN logs, specifically Zscaler VPN logs, to identify active connections and compares the source IP's country with a lookup of the user's expected work country. Alerts are generated when a mismatch is found, indicating a potentially unauthorized or suspicious access attempt.
This rule detects multiple failed SSL login attempts from a single source IP to a destination IP within a 24-hour period. A threshold of 10 failed attempts is used to identify potential brute-force attacks or credential stuffing against SSL-enabled services.
Detects potential exploitation attempts against FortiWeb CVE-2025-52970. The detection looks for individual HTTP GET requests to a specific API endpoint with a crafted APSCOOKIE_FWEB cookie containing 'Era=9'. The rule enriches alerts with information about known malicious IPs without strictly filtering on them.
This rule identifies if a given IP address falls within the known IP ranges used by Apple's iCloud Private Relay service. It retrieves a list of IPv4 and IPv6 ranges from a public GitHub repository and then checks if a specified IP address is contained within any of these ranges. This can be used to identify traffic potentially obfuscated by iCloud Private Relay.
Windows DCE-RPC functions which indicate a persistence techniques on the remote system. All credit for the Zeek mapping of the suspicious endpoint/operation field goes to MITRE.
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