Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects network traffic attempting to exploit CVE-2021-33044, an authentication bypass vulnerability in Dahua NetKeyboard devices, by identifying specific login request strings used in the exploit chain.
Detects network traffic associated with Adversary-in-the-Middle (AiTM) phishing kits that impersonate Microsoft and Google login pages. The rules identify the presence of specific HTML elements (like Cloudflare Turnstile anti-bot gates) and authentication session cookie headers served from non-authorized/non-official domains, indicating a reverse-proxy phishing attack.
This rule detects malicious HTTP POST requests attempting a path traversal attack against Grav CMS, specifically targeting the __unique_form_id__ parameter. The rule looks for directory traversal sequences ('..') following the parameter, which is characteristic of attempts to read sensitive files outside the intended web directory.
This rule detects malicious HTTP POST requests attempting a path traversal attack against Grav CMS, specifically targeting the __unique_form_id__ parameter. The rule looks for directory traversal sequences ('..') following the parameter, which is characteristic of attempts to read sensitive files outside the intended web directory.
Detects HTTP beaconing and command-and-control (C2) communication patterns associated with the Exvicy malware family. This includes heartbeat polling, victim fingerprinting registration, and CAPTCHA handling over HTTP GET and POST requests to the '/api.php' endpoint.
Detects high-volume account enumeration activity associated with the TeamFiltration tool, characterized by the use of legacy Microsoft Teams desktop client User-Agent strings (specific versions of Teams, Electron, and Chrome) within a short time window.
Detects high-volume account enumeration activity associated with the TeamFiltration tool, characterized by the use of legacy Microsoft Teams desktop client User-Agent strings (specific versions of Teams, Electron, and Chrome) within a short time window.
Detects anomalous POST requests to the RubyGems webhook API endpoint (/api/v1/web_hooks) containing specific indicators ('A000' or 'ZZEND') in the request body, which suggests the misuse of legitimate webhooks for chunked data exfiltration.
Detects HTTP GET requests to Cloudflare Pages subdomains (.pages.dev) ending in '/File_download', often used as a distribution point for malicious HTA (HTML Application) or WSF (Windows Script File) payloads in spearphishing campaigns.
Detects Heartbleed (CVE-2014-0160) exploitation attempts by monitoring for malformed TLS heartbeat requests (undersized payload) followed by oversized responses from the server that indicate potential memory disclosure.
Detects SQL injection exploitation attempts against MOVEit Transfer targeting the CVE-2023-34362 vulnerability, followed by the deployment and subsequent interaction with the 'human2.aspx' webshell associated with Cl0p ransomware mass-exploitation campaigns.
Detects outbound HTTP requests to 'third-party.com', a domain identified as being associated with 'ClickFix' social engineering lures, which are commonly used to deceive users into executing malicious scripts or downloading payloads.
Detects network activity associated with NetSupport Manager remote access software, specifically monitoring for connections to known malicious domains and infrastructure, as well as recurring beaconing patterns indicative of command-and-control behavior.
Detects anomalous WebSocket upgrade requests using a suspicious Firefox/21.0 User-Agent followed by a C2 buffer containing 'google.com' associated with the NeedyMantis threat actor group.
Detects network activity associated with ORAX Phishing-as-a-Service (PhaaS), specifically identifying fake Cloudflare security-verification pages and emoji-based CAPTCHA gates used as anti-analysis techniques to frustrate automated sandboxing.
This rule detects network traffic patterns associated with the ARToken phishing campaign, specifically identifying access to lure pages hosted on 'workers.dev' domains with 'docviewer' in the hostname and 'turnstile' challenge responses in the HTTP body, which is used for anti-analysis/evasion.
Detects network traffic patterns associated with the ORAX/OraxRDP AiTM (Adversary-in-the-Middle) phishing toolkit. The rule monitors for specific SignalR WebSocket upgrade requests and session-related GraphQL commands (such as MirrorChallenge, Init, and Input) used to facilitate MFA relay and web session hijacking.
Detects HTTP traffic where a common automated scanner or sandbox user agent triggers an immediate redirect to 'about:blank', a common technique used by phishing kits to hide content from automated security analysis tools.
Detects network indicators associated with the ORAX Phishing-as-a-Service (PhaaS) platform. This includes patterns for emoji-matching CAPTCHAs, spoofed Cloudflare security pages, specific wildcard subdomain DNS queries, and the use of anti-analysis gate sequences to prevent sandbox inspection.
Detects network indicators and session patterns associated with the JWR Phishing Framework, specifically targeting its WebSocket-based command and control (C2) communication, client engine (main.js/ws-worker.js) retrieval, and unique session token (JWRCVV) usage.
Detection of network traffic patterns associated with the NovaCookies Adversary-in-the-Middle (AiTM) phishing kit. The rules monitor for DNS queries for .vu domains, HTTP requests to lookalike Microsoft 365 login pages hosted on .vu domains, POST requests containing credential data, and the receipt of specific session cookies (ESTSAUTH) indicative of successful AiTM session interception.
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