Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

599 detections

Detects web requests for specific JavaScript file names that are part of the DarkSword iOS exploit chain. The presence of these requests strongly suggests a device is being targeted with the exploit kit.
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Elgonad .@elgonad
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Detections.ai Community
7 months ago
1034
Detects attempts to exploit a remote code execution vulnerability (CVE-2025-40553) in SolarWinds Web Help Desk. Attackers use hex-encoded escape sequences (`\xNN`) and other JSON parsing gotchas to bypass security filters and achieve deserialization of malicious objects.
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Danny Y@zendannyy
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Detections.ai Community
8 months ago
2058
Detects HTTP requests to download the BoryptGrab stealer, which uses a specific URL pattern containing a hardcoded build name. This activity is characteristic of the initial launchers used in the BoryptGrab campaign to fetch the main stealer component from a C2 server.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
1037
This rule is based on a phishing method that abuses normal sign-in links instead of relying on an obviously fake website at the start. The trick works by sending a person to a real sign-in service with settings that force an error and then pass the browser along to the attacker’s page. The rule stays narrow by looking for both the hidden sign-in setting and the clearly bad scope value together. That matters because silent sign-in by itself can appear in normal environments, but the bad scope value changes the story and makes the pattern much more suspicious. In plain language, this rule is trying to spot a link that pretends to be a normal sign-in step but is really being used as a doorway to a phishing or malware page after the trusted service does the redirect. Keeping both parts together helps the rule stay tied to the abusive redirect trick instead of ordinary sign-in traffic.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
8 months ago
3060
Detects a web server process spawning tools commonly used for data staging and exfiltration, such as rar.exe, certutil.exe, and type.exe. This behavior is characteristic of the CL-UNK-1068 actor's exfiltration TTP, often performed via a web shell.
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Elgonad .@elgonad
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Detections.ai Community
8 months ago
3089
This rule is meant to catch a very specific web request pattern tied to the SolarWinds Web Help Desk issue described in the report. The attack sends a crafted request to a known application path and includes a small group of values that are unusual in normal traffic but important in the exploit chain. The rule stays tight by requiring the request method, the path, and the special body values together. That matters because web applications often have busy and messy traffic, and loose matching on only one keyword would create noise. In plain language, this rule tries to spot a request that is not just using the help desk site, but is trying to abuse it to make the server handle attacker-controlled data in a dangerous way. It is best used as a high-confidence lead for review rather than a generic web alert. When it fires, it should be treated as a focused sign of attempted abuse rather than normal help desk.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
8 months ago
1043
Detects HTTP POST requests to the SolarWinds Web Help Desk (WHD) AjaxProxy endpoint that contain hex-encoded JSON keys or values (e.g., `\xNN`).
Attackers use this technique to bypass security filters and achieve remote code execution, as detailed in the exploit chain for CVE-2025-40552 and CVE-2025-40553.
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Tim Peck@timpeck
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Detections.ai Community
8 months ago
7190
Detects attempts to inject path traversal or SQL-like syntax into the 'kid' (Key ID) parameter of a JSON Web Token (JWT) header. This may indicate an attempt to manipulate the server's key retrieval process to force signature validation with an improper key, potentially leading to an authentication bypass.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
2064
Detects potential JSON Web Token (JWT) authentication bypass attempts where the algorithm in the token header is explicitly set to "none". A vulnerable server might skip signature validation for such tokens, allowing an attacker to forge arbitrary claims and potentially gain unauthorized access or escalate privileges.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
1045
Detects successful content injection leading to process execution
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Danny Y@zendannyy
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Detections.ai Community
8 months ago
1027
Detects HTTP requests to vulnerable Ivanti EPMM endpoints containing URI patterns associated with active exploitation of CVE-2026-1281 and CVE-2026-1340. The rule looks for specific URI paths and the presence of a 'gPath' parameter, which is indicative of an exploitation attempt.
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Tim Peck@timpeck
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Detections.ai Community
8 months ago
4093
This detection identifies common web attack patterns including SQL Injection (SQLi), Cross-Site Scripting (XSS), and Local File Inclusion (LFI) by inspecting URL and POST data for specific malicious patterns. It looks for indicators such as script tags, onerror/onload attributes, javascript: URIs, alert() functions for XSS; SQL keywords like UNION SELECT, xp_cmdshell, sp_configure, and common SQLi bypass patterns for SQLi; and directory traversal sequences (../../, ..%2f..%2f), and sensitive file paths like /etc/passwd, /windows/win.ini, php://filter for LFI.
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Kenji Choy@kchoy
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Detections.ai Community
9 months ago
130209
Detects the execution of automated Nginx configuration modification scripts by identifying the use of 'csplit', 'awk', or 'sed' in close proximity to Nginx service management commands (reload, restart, or testing). This pattern is a hallmark of the 'bt.sh', 'zdh.sh', and '4zdh.sh' toolkits used to inject malicious proxy_pass directives.
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Ethan Andrews@eandrews
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Federal Signal Detections
9 months ago
1027
Detects HTTP POST requests containing a JSON-RPC payload with the 'eth_call' method. This is often used by web-based crypto wallets or dApps to interact with the Ethereum blockchain, but can also be used by malicious JavaScript for activities like cryptojacking or wallet draining.
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Aaron Beardslee@abeardslee
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Securonix Threat Research
9 months ago
21186
Detects attempts to exploit the SmarterMail authentication bypass vulnerability (WT-2026-0001) by sending a POST request to the /api/v1/auth/force-reset-password endpoint with 'IsSysAdmin' set to 'true'.
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Tim Peck@timpeck
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Detections.ai Community
9 months ago
0143
Detects C2 network traffic associated with the InvisibleFerret RAT, used by the PurpleBravo group. This malware uses a plaintext HTTP channel for beaconing, data exfiltration, and payload delivery to specific URI endpoints.
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Elgonad .@elgonad
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Detections.ai Community
9 months ago
0075
This rule detects an attempt to exploit an XML External Entity (XXE) vulnerability in GeoServer's Web Map Service (WMS) GetMap function. The detection logic looks for HTTP POST requests to the '/wms?' endpoint containing 'request=GetMap' in the URI, and specific XML elements like '<StyledLayerDescriptor>', '<!DOCTYPE', '<!ENTITY', and 'SYSTEM' within the request body, along with a URL-like pattern '://' indicating an attempt to fetch external content.
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David Wharton@whartond
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Suricata Shoebox
10 months ago
0054
Detects indicators of React2shell exploitation originating from 'node' or 'next' processes on web-facing or internet-facing assets. This rule identifies suspicious network connections to common web ports (3000, 8080, 443, 80) or process executions containing command-line arguments indicative of prototype pollution exploitation (e.g., '__proto__', 'constructor:constructor', 'process.mainModule.require', 'execSync', 'vm.runInThisContext', 'fs.readFileSync') or common post-exploitation commands ('whoami', '/etc/passwd', 'id', 'env', 'hostname').
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
10 months ago
371403
Detects HTTP POST requests to n8n '/form/*' endpoints where the Content-Type header is 'application/json'. This indicates an attempt to exploit the Content-Type confusion vulnerability (CVE-2026-21858) to achieve arbitrary file read and subsequent remote code execution.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
124165
Detects command injection attempts in HTTP POST requests targeting IoT device web interfaces, a technique used by the RondoDoX botnet to compromise vulnerable devices.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
61145
Detects HTTP POST requests containing WDDX XML payloads that attempt to exploit a deserialization vulnerability in Adobe ColdFusion (CVE-2023-26359). The attack leverages a JNDI injection with the 'com.sun.rowset.JdbcRowSetImpl' gadget chain.
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Tim Peck@timpeck
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Detections.ai Community
10 months ago
6091
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