Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects HTTP POST requests directed at etherscan.io containing 'eth_call' in the request body. This pattern is indicative of the GHAPPIER / PolinRider malware family utilizing the Ethereum blockchain's public JSON-RPC interface as a dead-drop resolver for command-and-control communication.
Detects outbound network traffic from internal hosts to known PIVOTPIPE-associated infrastructure, including attempts to access open directories for payload distribution and suspected Cobalt Strike command-and-control communications.
Detects network traffic associated with the GHAPPIER campaign using specific Vercel-hosted staging infrastructure. The rule monitors for requests to known malicious Vercel subdomains and identifying URI parameters often used for campaign tagging during beaconing or payload delivery.
Detects a multi-stage phishing attack targeting cryptocurrency users, specifically Ledger wallet holders. The detection identifies an initial request to a Vercel-hosted domain for a BIP-39 wordlist (a common recovery phrase standard) followed by a POST request to a similar Vercel-hosted endpoint, suggesting the exfiltration of a secret recovery phrase.
Detects a multi-stage phishing attack targeting cryptocurrency users, specifically Ledger wallet holders. The detection identifies an initial request to a Vercel-hosted domain for a BIP-39 wordlist (a common recovery phrase standard) followed by a POST request to a similar Vercel-hosted endpoint, suggesting the exfiltration of a secret recovery phrase.
Detects a multi-stage phishing attack targeting cryptocurrency users, specifically Ledger wallet holders. The detection identifies an initial request to a Vercel-hosted domain for a BIP-39 wordlist (a common recovery phrase standard) followed by a POST request to a similar Vercel-hosted endpoint, suggesting the exfiltration of a secret recovery phrase.
This rule detects HTTP POST requests to Vercel-hosted domains containing suspected phishing telemetry (such as device fingerprinting, keystrokes, and user agent collection) originated from a Google Sites frame. This is a common pattern for phishing kits masquerading as legitimate Ledger service pages to harvest credentials and hardware information.
This rule detects HTTP POST requests to Vercel-hosted domains containing suspected phishing telemetry (such as device fingerprinting, keystrokes, and user agent collection) originated from a Google Sites frame. This is a common pattern for phishing kits masquerading as legitimate Ledger service pages to harvest credentials and hardware information.
This rule detects HTTP POST requests to Vercel-hosted domains containing suspected phishing telemetry (such as device fingerprinting, keystrokes, and user agent collection) originated from a Google Sites frame. This is a common pattern for phishing kits masquerading as legitimate Ledger service pages to harvest credentials and hardware information.
This rule detects reconnaissance activity targeting Azure App Service instances, specifically looking for attempts to access web-shell-like files, WordPress administration paths, PHP-CGI endpoints, or LangFlow code validation paths. It identifies potential Storm-3168 actor infrastructure through known IOCs or through patterns of high-volume, path-diverse HTTP requests that deviate from typical noise, helping to distinguish targeted probing from common internet background scanning.
Detects outbound HTTP requests to the Telegram Bot API associated with the malicious 'indexed-btree' npm package. The rule specifically monitors for hardcoded Telegram bot tokens and chat IDs used for data exfiltration.
This rule detects HTTP GET requests to a specific GitHub repository path (raw.githubusercontent.com/omskiwdcvoiuyfd0998/) identified as staging infrastructure associated with Konni/VelvetCake malware operations. This activity is indicative of a compromised host attempting to download malicious payloads or stage tools from actor-controlled infrastructure.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
Detection of network traffic associated with VelvetCake (Konni) malware, identifying communication with known hardcoded C2 infrastructure, domain lookups, and exfiltration attempts via HTTP/TLS and raw TCP protocols.
Detects unauthenticated attempts to exploit CVE-2025-3248 in the Langflow 'validate/code' endpoint, characterized by missing authentication headers and the presence of suspicious Base64-encoded payloads or command execution keywords. Additionally, it identifies potential post-exploitation activity where Langflow processes spawn Python subprocesses.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
Detects network activity (TCP, DNS, TLS, HTTP) associated with the UNC6240 threat actor's infrastructure, specifically targeting communications with known malicious IP addresses and domains used in a campaign leveraging PeopleSoft-related lures.
Detects unauthorized outbound HTTP requests to the Telegram Bot API (api.telegram.org) utilizing hardcoded credentials, specific chat IDs, or standard Bot API communication patterns (sendMessage/sendDocument) which are often used by malware for data exfiltration and command-and-control communication.
Detects network traffic associated with the NPM Btree malware campaign, specifically identifying command-and-control (C2) polling activities directed toward blockchain RPC endpoints like Alchemy and Infura. The rules monitor for specific API keys, C2 smart contract addresses via 'eth_call' JSON-RPC requests, and overall traffic patterns to known malicious infrastructure.
Detects network traffic indicating the use of Slack APIs as a command and control (C2) channel or for exfiltration. The rules monitor for specific TLS SNI strings, hardcoded Slack bot tokens, and specific channel IDs associated with the 'indexed-btree' malware campaign, which utilizes Slack as a C2 platform.
Detects network activity associated with a malicious npm package campaign leveraging Sepolia Ethereum testnet RPC endpoints (Alchemy and Infura) for command-and-control (C2) communication. The detection looks for JSON-RPC 'eth_call' requests and specific contract address references characteristic of this campaign.
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