Detections

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

1,208 detections

Detects the specific OpenSSL command line arguments used by TeamPCP to encrypt stolen credentials before exfiltration. This rule looks for executions of 'openssl' with AES-256 encryption flags ('enc -aes-256-cbc' or 'enc -aes-256') and the use of a file to pass the encryption password ('-pass file:').
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
7 months ago
50141
This rule detects network connections and DNS resolution requests to known typosquatted domains used by the TeamPCP threat actor for command and control (C2) and data exfiltration. These domains are associated with a compromised Trivy scanner. Detection indicates successful execution of the compromised scanner and attempted exfiltration.
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Brandon Rodriguez@BMRodriguez
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Detections.ai Community
7 months ago
50125
This rule detects potential lateral movement attempts originating from IIS web servers (identified by 'w3wp.exe' as the initiating process) to other internal IP addresses using common lateral movement ports (SMB, RDP, WinRM, SSH). It specifically looks for successful network connections from an IIS server to a private IP address on one of the specified ports, where the remote IP is not the local IP.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
80163
Detects suspicious payload execution or unexpected child processes spawning directly from the IIS worker process (w3wp.exe), which is a common indicator of web shell activity or exploit payload execution on vulnerable IIS instances.
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Ankit Mehta@Secvyn
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Detections.ai Community
7 months ago
130162
This rule detects potential device code phishing attempts where a user accesses a commonly abused Platform-as-a-Service (PaaS) platform (Cloudflare Workers, Vercel, Amplify) and subsequently attempts to log in via the Microsoft device login endpoint within a 5-minute window. This sequence of events is indicative of an adversary luring a user to a malicious site hosted on a PaaS platform to capture a device code, which is then used to authenticate to Microsoft services.
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Bryant Smith@flowstate
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Detections.ai Community
7 months ago
10172
Identifies suspicious URI request patterns potentially indicative of CVE-2026-4681 exploitation attempts against PTC PLM solutions. This rule looks for these specific patterns within web traffic logs from various sources (access logs, IIS, Apache).
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Danny Y@zendannyy
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Detections.ai Community
7 months ago
3089
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
8 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
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
This detection identifies the execution of suspicious shell commands (such as download cradles, reverse shells, or unexpected GUI applications like Calculator) spawned as child processes of the Claude Code CLI ('claude'). This activity is indicative of potential Remote Code Execution (RCE) through the exploitation of malicious hooks in `.claude/settings.json` or malicious MCP server commands, as described in CVE-2025-59536.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
150191
This detection identifies JSON Web Tokens (JWTs) with an expiration time ("exp" claim) that is set unusually far in the future. Attackers may forge tokens with long lifespans to maintain persistent access after an initial compromise.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
4068
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 the creation of an unusual lock file at `/usr/share/nano/.lock`. This specific path is used by a backdoored Go module (impersonating golang.org/x/crypto) to temporarily store harvested plaintext passwords before exfiltration. The rule specifically looks for file creation events at this highly specific path.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
6069
Detects potential JSON Web Token (JWT) algorithm confusion attacks. This occurs when an attacker sends a token signed with a symmetric algorithm (e.g., HS256) to a server expecting an asymmetric one (e.g., RS256). If the server is misconfigured, it may use its public key as the HMAC secret, allowing the attacker to forge valid tokens. The rule specifically looks for JWTs with symmetric HMAC-based algorithms (HS256, HS384, HS512) being sent to applications configured to exclusively use asymmetric key algorithms.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
2053
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 the execution of 'chmod 000' against PHP files in common FreePBX/Elastix web server directories. This is a high-fidelity indicator of the EncystPHP web shell attempting to lock out administrators and prevent inspection of its malicious files.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
1039
Detects HTTP requests to the 'compcheckresult.cgi' script containing the unique parameter 'vXm8DtMJG'. This pattern is a strong indicator of the RESURGE webshell, which is injected into the CGI script on compromised Ivanti Connect Secure devices to allow for remote command execution.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
2040
This rule detects modifications to AI assistant configuration files by suspicious processes like package managers (npm, yarn) or shell interpreters (bash, powershell). This activity is indicative of a supply chain attack, specifically the SANDWORM_MODE campaign, where an attacker injects a rogue Model Context Protocol (MCP) server entry to hijack AI tools. This enables automated source code and secret theft via prompt injection.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
120163
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