Detections

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

7,139 detections

This rule detects the creation of user namespaces on Linux systems by unprivileged users. The 'unshare' command with '--user' or '-U' flags allows a process to move into a new user namespace, which can be abused for privilege escalation or container escape. The rule specifically excludes common container runtimes and processes running as 'root' to reduce false positives.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potential container escape attempts on Linux systems by monitoring suspicious file system access patterns to the host's root directory or process creation events involving 'mount', 'nsenter', or 'chroot' commands with parameters indicative of host interaction. Specifically, it looks for file operations on '/proc/1/root', '/proc/1/cwd', '/proc/1/exe', '/proc/1/fd', '/proc/1/ns', '/proc/1/environ', '/proc/1/mounts' or paths starting with '/host', '/hostroot', '/host-root', '/node-root'. It also flags 'mount' commands targeting '/proc/1/root', '/proc/1', 'nsenter', '--target 1', 'hostpath', or '/host', 'nsenter' commands with namespace manipulation arguments, and 'chroot' commands targeting '/proc/1/root', '/host', or '/hostroot'. These activities are commonly associated with adversaries trying to break out of a containerized environment to gain access to the underlying host.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects attempts to invoke 'sudo' for privilege escalation or enumeration from non-interactive contexts such as scripts, scripting language interpreters, or web/application service processes. It also identifies 'sudo -l' or '--list' commands used for privilege enumeration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects the 'strings' command being run directly against /proc/*/mem to extract human-readable strings (such as tokens or passwords) from raw memory. This activity is often associated with credential dumping techniques on Linux systems.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
Detects the explicit execution of the 'gh-token-monitor.sh' script, which is indicative of active credential harvesting on the endpoint. This script is designed to monitor and potentially exfiltrate GitHub tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
Detects the use of the 'watch' command in conjunction with 'cat' to continuously poll the GitHub CLI config file (.config/gh/hosts.yml). This activity could indicate an attacker attempting to capture new GitHub tokens as soon as a developer logs in.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
108
Detects outbound network connections to 'filev2.getsession.org', a known Miasma payload hosting and exfiltration domain. This domain has been associated with Miasma malware for command and control and data exfiltration activities.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
Detects Node.js initiating network connections over port 2222. This activity is associated with the Miasma botnet, which uses port 2222 as a fallback C2/SSH channel when standard ports are blocked.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
003
Detects command-line parameters indicating RPC calls to Ethereum/Polygon for C2 resolution, specifically looking for 'eth_call' and known blockchain service providers like 'drpc.org', 'tenderly', 'flashbots', or 'blastapi'. This activity is indicative of the EtherHiding malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
108
Detects potential port scanning activity originating from a Squid proxy server targeting FTP (port 21). This rule identifies instances where a Squid process attempts to connect to port 21 on multiple remote IPs within a one-hour window, which could indicate reconnaissance or malicious activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potential exploitation attempts related to the 'Squidbleed' vulnerability (CVE-2021-28116) by monitoring 'squid.exe' process command lines for keywords indicative of stack variable overflow exploitation in its FTP parser. Specifically, it looks for the presence of terms like 'stack', 'heap', 'offset', 'buffer', or 'pointer' combined with 'overread', 'overflow', or 'bounds'.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects potential port scanning activity originating from a Squid proxy server targeting FTP (port 21). This rule identifies instances where a Squid process attempts to connect to port 21 on multiple remote IPs within a one-hour window, which could indicate reconnaissance or malicious activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects the execution of specific Python scripts associated with the 'FortiBleed' campaign. These scripts include 'spray_da.py' (domain admin password spray), 'smb_test.py' (SMB validation/lateral movement), 'spider.py' (Active Directory crawler), and 'ad_full_audit.py' (Active Directory full audit). Detection is based on the Python executable (python.exe, python3, etc.) running with these script names in the command line or as the main file executed.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
001
Detects the execution of 'squid.exe' with command-line arguments that contain whitespace characters potentially indicative of a NULL terminator vulnerability (Squidbleed). The rule specifically looks for common whitespace representations like 'w_space', 'space', 'tab', 'newline', '\n', '\r', and '\t' in the command line.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects potential exploitation attempts related to the 'Squidbleed' vulnerability (CVE-2021-28116) by monitoring 'squid.exe' process command lines for keywords indicative of stack variable overflow exploitation in its FTP parser. Specifically, it looks for the presence of terms like 'stack', 'heap', 'offset', 'buffer', or 'pointer' combined with 'overread', 'overflow', or 'bounds'.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects fileless Linux malware execution patterns that run payloads from anonymous memory files (memfd_create) or inherited file descriptors under /proc/self/fd without touching disk. Used by Linux backdoors and miners to evade filesystem-based detection.
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Danny Y@zendannyy
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Detections.ai Community
4 months ago
204
Detects fileless Linux malware execution patterns that run payloads from anonymous memory files (memfd_create) or inherited file descriptors under /proc/self/fd without touching disk. Used by Linux backdoors and miners to evade filesystem-based detection.
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Danny Y@zendannyy
CrowdStrike Logscale
4 months ago
404
Detects BPFDoor-style iptables NAT REDIRECT rules used to tunnel traffic from a
legitimate service port to a high ephemeral shell port (42391-43390) without
disrupting the real service for other clients. BPFDoor activates on magic packets, spawns a
bind shell, inserts short-lived PREROUTING redirects for the controller IP, then deletes them.
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Danny Y@zendannyy
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Detections.ai Community
4 months ago
004
Description: Detects the Stage 2 C2 tasking loop from the malicious Next.js developer-targeting campaign.Stage 2 spawns a child Node.js process and executes attacker-supplied JavaScript via STDIN ('-') or eval ('-e'), sourced from a parent Node process that previously beaconed to Vercel staging infrastructure. Trojanized assets involved include jquery.min.js and env-setup.js loaded from
known malicious repo structures.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
170132
Hunting rule for nmap used for internal network discovery.
Legitimate vulnerability management and pentests also run nmap; prioritize hits when the source is a server or workload not in your scanner inventory, the parent is an interactive shell or script dropped, or the event chains with
tunneling (chisel, proxychains), or lateral movement.
Strongest signals: RFC1918 subnet sweeps, -iL target lists, proxychains-wrapped
-sT/-Pn scans, and full-port sweeps across private ranges.
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Danny Y@zendannyy
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Detections.ai Community
4 months ago
001
This rule detects network connections from devices to a list of known malicious domains. These domains are associated with various threats including phishing, C2 beacons, data exfiltration, ransomware, cryptominers, and credential harvesting. The rule aggregates connections by remote URL and time, flagging any domain with at least one connection.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
208
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