Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This detection identifies attempts to authenticate with an empty public key fingerprint in Progress MOVEit Transfer, which is a key indicator of potential exploitation of the CVE-2024-5806 vulnerability. Such attempts are characteristic of the authentication bypass technique used in this vulnerability, where attackers try to impersonate valid users without providing proper credentials. While occasional empty key fingerprint authentication attempts might occur due to misconfigurations, a sudden increase or attempts from unexpected sources could signify malicious activity. This analytic helps security teams identify and investigate potential exploitation attempts of the MOVEit Transfer authentication bypass vulnerability.
The analytic detects potential exploitation of the CrushFTP authentication bypass vulnerability (CVE-2025-31161). This detection identifies suspicious command execution patterns associated with exploitation of this vulnerability, such as executing mesch.exe with specific arguments like b64exec or fullinstall. This activity is indicative of an attacker exploiting CVE-2025-31161 to gain unauthorized access to the CrushFTP server and perform post-exploitation activities.
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.
Detects agentic AI jailbreak attempts that try to establish persistent control over M365 Copilot through rule injection, universal triggers, response automation, system overrides, and persona establishment techniques. The detection analyzes the PromptText field for keywords like "from now on," "always respond," "ignore previous," "new rule," "override," and role-playing commands (e.g., "act as," "you are now") that attempt to inject persistent instructions. The search computes risk by counting distinct jailbreak indicators per user session, flagging coordinated manipulation attempts.
This rule detects attempts to bypass M365 Copilot's safeguards and extract sensitive or comprehensive information using various social engineering techniques. It specifically looks for keywords in the 'Subject_Title' field of exported eDiscovery prompt logs that indicate requests for classified, proprietary, or bulk data, or attempts to bypass privacy controls. The rule categorizes these attempts by extraction type and assigns severity levels, filtering out low-severity cases to highlight the most critical risks of AI manipulation for data exfiltration.
Detects potential prompt injection or jailbreak attempts against Ollama API endpoints by identifying requests with abnormally long response times. Attackers often craft complex, layered prompts designed to bypass AI safety controls, which typically result in extended processing times as the model attempts to parse and respond to these malicious inputs. This detection monitors /api/generate and /api/chat endpoints for requests exceeding 30 seconds, which may indicate sophisticated jailbreak techniques, multi-stage prompt injections, or attempts to extract sensitive information from the model.
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.
This rule detects potential device code phishing attempts by correlating URL click events with sign-in logs using the 'deviceCode' authentication protocol. It specifically looks for successful or failed sign-ins (result types 0, 50074, 50076, 500121) that occur after a user clicks on a URL.
This analytic detects instances where web or application server processes (such as Java, Tomcat, Apache, Nginx, Node, Caddy, IIS, PHP) spawn a Linux or Windows shell. This activity is highly indicative of successful exploitation, potentially related to vulnerabilities like Log4Shell (CVE-2021-44228) or Spring4Shell (CVE-2022-22965), leading to unauthorized command execution, privilege escalation, or persistent access. The detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on parent-child process relationships and process names.
This analytic identifies instances where `java.exe` or `tomcat.exe` spawns a Windows shell, such as `cmd.exe` or `powershell.exe`. This activity is significant as it may indicate exploitation attempts, such as those related to CVE-2021-44228 (Log4Shell) or CVE-2022-47966. If confirmed malicious, attackers could execute arbitrary commands, potentially leading to system compromise, data exfiltration, or further lateral movement within the network.
Detects Ollama server errors and failures during model loading operations that may indicate malicious model injection, path traversal attempts, or exploitation of model loading mechanisms to achieve remote code execution. Adversaries may attempt to load specially crafted malicious models or exploit vulnerabilities in the model loading process to execute arbitrary code on the server. This detection monitors error messages and failure patterns that could signal attempts to abuse model loading functionality for malicious purposes.
The analytic detects instances where Java or Tomcat processes spawn a Linux shell. This activity may indicate exploitation attempts, such as those related to CVE-2021-44228 (Log4Shell). This detection leverages Endpoint Detection and Response (EDR) telemetry, focusing on process names and parent-child process relationships. This activity is significant as it can signify a compromised Java application, potentially leading to unauthorized shell access. If confirmed malicious, attackers could execute arbitrary commands, escalate privileges, or maintain persistent access, posing a severe threat to the environment.
The analytic detects Microsoft Office products writing `.cab` or `.inf` files, which is indicative of exploitation related to CVE-2021-40444. This activity may signal an attempt to load malicious ActiveX controls and download remote payloads, a known attack vector that can lead to remote code execution and system compromise.
This advanced hunting query detects CISA Alert (AA22-117A) 2021 Top Routinely Exploited Vulnerabilities https://www.cisa.gov/uscert/ncas/alerts/aa22-117a
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 attempts to read the memory of browser processes (Chrome, Edge, Firefox, Brave, Opera). This activity can be indicative of credential dumping or other forms of data exfiltration from web browsers.
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.
Detects DLL side-loading activity consistent with the Mustang Panda Claimloader malware. This rule looks for a process loading a DLL from its own directory, a common side-loading pattern. It specifically targets IOCs from the Claimloader campaign (e.g., decoy executable metadata and malicious DLL names) or a more generic pattern where an executable in a suspicious location loads a DLL.
Detects attempts to exploit a SQL injection vulnerability (CVE-2025-57819) in FreePBX via a malicious GET request to '/admin/ajax.php'. Attackers leverage this to achieve remote code execution by inserting a malicious cron job.
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.
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