Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects outbound WebSocket upgrade requests from internal network assets to known IronToll C2 IP addresses, restricted to requests whose Host header ends in one of the disposable TLDs observed across the campaign's 73+ rotating lookalike domains (.cfd, .sbs, .shop, .icu, .buzz, etc). This narrows the alert to the campaign's actual phishing-domain pattern rather than any WebSocket traffic that happens to reach the same shared Tencent/Alibaba cloud IPs, and a per-source threshold caps repeat alerts from the same host to one per hour.
Detects TCP connections on standard web ports from internal hosts to known IronToll C2 IPs on Tencent/Alibaba Cloud. Scoped to web ports and an established handshake, with a per-source hourly alert cap to reduce repeat noise.
Detects DNS queries, TLS SNI, and HTTP Host header traffic associated with the IronToll phishing campaign. The rule specifically monitors for government-impersonating domains and lookalike domains utilizing various non-standard top-level domains (TLDs).
Detects attempts to bypass AWS IMDSv2 security protections via the LiteLLM /config/pass_through_endpoint, where attackers inject the 'x-pass-X-aws-ec2-metadata-token' header to potentially strip authentication requirements.
Detects potential data exfiltration activity where a host is communicating with the Telegram Bot API. The rule identifies high-frequency connections to api.telegram.org and inspects HTTP URIs for signs of Telegram Bot token usage combined with 'sendDocument' or 'sendPhoto' commands, which are common indicators of malicious exfiltration.
Detects outbound network traffic associated with the Tailscale VPN protocol, specifically identifying potential unauthorized or personal tailnet communication channels. The detection monitors for TLS SNI strings ending in '.ts.net' and WireGuard handshakes on UDP port 41641. These indicators are common to all Tailscale client activity and require environment-specific exclusions of sanctioned Tailscale infrastructure to minimize noise.
This rule detects network traffic directed to the subdomain 'testing.perplexity.com', which is identified as being associated with the BragJack campaign. This specific subdomain is leveraged by the campaign to facilitate browser session redirect bypasses, indicative of an attempt to intercept or manipulate user sessions.
This rule detects network traffic directed to the subdomain 'testing.perplexity.com', which is identified as being associated with the BragJack campaign. This specific subdomain is leveraged by the campaign to facilitate browser session redirect bypasses, indicative of an attempt to intercept or manipulate user sessions.
Detects Server-Side Request Forgery (SSRF) attempts originating from the Grafana MCP (Model Context Protocol) process. The rule specifically monitors for instances where the 'grafana_api_request' tool is used in conjunction with a 'X-Grafana-URL' header targeting cloud metadata IP ranges (169.254.0.0/16), or where the host attempts to resolve GCP metadata domains ('metadata.google.internal'). This behavior is indicative of an attacker attempting to access cloud provider instance metadata to exfiltrate security credentials.
Detects HTTP requests containing JNDI lookup patterns commonly associated with the Log4Shell (CVE-2021-44228) vulnerability exploitation, where an attacker attempts to force an application to execute remote code via Java Naming and Directory Interface (JNDI) injection.
This rule detects HTTP requests that contain duplicate 'Content-Length' headers, a technique used to perform HTTP Request Smuggling attacks. Attackers exploit discrepancies in how front-end and back-end servers interpret duplicate or conflicting request headers to smuggle requests, bypass security controls, or gain unauthorized access to back-end systems.
This rule detects multiple instances of HTTP double-encoded URIs from a single source within a 60-second window. Attackers often use double encoding to bypass security filters, WAFs, or input validation mechanisms that only perform a single decoding pass. This behavior is indicative of attempted exploitation, evasion, or directory traversal attacks.
Detects inbound HTTP traffic directed to internal hosts on ports other than commonly used web ports (80, 443, 8080, 8443, 8000, 8888, 3128). This behavior may indicate an attempt to bypass network security controls or the use of non-standard ports for command and control or data exfiltration.
This rule detects attempts to exploit a path traversal vulnerability (CVE-2024-21762) in FortiOS SSL-VPN by monitoring for malformed GET requests targeting the /remote/fgt_lang endpoint. The rule also tracks successful exploitation by identifying HTTP 200 responses containing Linux password file patterns (root:x:0:0:), indicating potential remote file disclosure.
This rule detects attempts to exploit a path traversal vulnerability (CVE-2024-21762) in FortiOS SSL-VPN by monitoring for malformed GET requests targeting the /remote/fgt_lang endpoint. The rule also tracks successful exploitation by identifying HTTP 200 responses containing Linux password file patterns (root:x:0:0:), indicating potential remote file disclosure.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
Detects HTTP POST requests to a Gitea repository's diffpatch API endpoint whose body contains both a real git diff header and the malicious 'hooks/post-index-change' file path used by the CVE-2026-60004 exploit chain to plant an executable Git hook via an add/add merge collision.
Detects HTTP POST requests to a Gitea repository's diffpatch API endpoint whose body contains both a real git diff header and the malicious 'hooks/post-index-change' file path used by the CVE-2026-60004 exploit chain to plant an executable Git hook via an add/add merge collision.
Detects an attempt to exploit CVE-2021-33045 in Dahua devices, where an attacker sends a malicious JSON-RPC request to bypass authentication by leveraging the 'Loopback' login type and targeting the '127.0.0.1' address in the 'ipAddr' parameter.
Detects an attempt to exploit CVE-2021-33045 in Dahua devices, where an attacker sends a malicious JSON-RPC request to bypass authentication by leveraging the 'Loopback' login type and targeting the '127.0.0.1' address in the 'ipAddr' parameter.
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