Detections

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

7,266 detections

Detects a sequential pattern where a browser process (Chrome, Edge, or Safari) accesses an AI chat platform's conversation API, followed within 5 minutes by a network connection to a known unauthorized exfiltration destination (api.pbapi.xyz). This pattern suggests the potential use of a browser-based tool or extension (e.g., Poper Blocker or similar) to intercept and exfiltrate AI chat history.
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Arnold Chan@slaz
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Midnight Slayer
28 days ago
106
Detects the first-ever observed network connection from a device to WhatsApp Web or Telegram Web within a 30-day lookback period. This behavior is used to identify potentially unauthorized companion-device linking to a user's messenger account, which could indicate credential theft or unauthorized access.
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Arnold Chan@slaz
Defender - KQL
27 days ago
105
Detects a potential web shell deployment by identifying a web server process creating or modifying a file in common web directory locations, followed shortly (within 10 minutes) by the execution of that same file.
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Ankit Mehta@Secvyn
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SlimKQL
30 days ago
8010
Detects an exploitation attempt against PoeLLM or LiteLLM MCP test/connection endpoint using a python3 stdio payload that fetches data from port 81.
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Arnold Chan@slaz
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Detection & Hunting Community
22 days ago
001
This rule monitors the software inventory for vulnerable versions of OpenSSL and WolfSSL libraries. Specifically, it flags instances of WolfSSL prior to version 5.9.4, which are susceptible to peer-authentication bypass vulnerabilities. The rule is intended for patch management and asset exposure tracking rather than detecting active exploitation.
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Ankit Mehta@Secvyn
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SlimKQL
1 month ago
8011
Detects modifications to core NetScaler startup configuration files 'ns.conf' or 'rc.netscaler'. Attackers often target these files after initial access to establish persistence by injecting malicious commands, rewrite, or responder policies to maintain access to the appliance.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
11019
Detects evidence of exploitation and post-exploitation activity related to CVE-2026-59310, an unauthenticated RCE vulnerability in the VMware vCenter Syslog Server. The rule monitors for suspicious child processes spawned by vmsyslogcollector, directory traversal patterns in command lines, and persistence mechanisms involving SSH authorized_keys modification, cron job creation, or systemd unit deployment on the VCSA shell.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
609
Detects unauthorized process activity that reads, copies, archives, or transmits the NetScaler ns.conf configuration file. This file contains highly sensitive information, including AAA/LDAP bind credentials and certificates. Adversaries may stage or exfiltrate this file following the exploitation of vulnerabilities (such as CVE-2026-88771 or CVE-2026-88772) on NetScaler appliances to facilitate further network compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
5018
This rule detects potential post-exploitation activity on a NetScaler appliance where a crontab modification occurs within a short window (1 hour) following suspicious syslog entries indicative of oversized-parameter buffer overflow exploitation attempts (CVE-2026-88771/CVE-2026-88772).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
7018
Detects runtime processes associated with AI agents or scripting environments (e.g., python, node, deno) accessing sensitive credential storage paths and files, such as SSH keys, cloud provider configuration directories, and local environment variables, which may indicate credential exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
5010
This rule detects potential command injection attacks targeting the Zimbra 'swatchdog' service, specifically involving the abuse of SNMP trap notifications (CVE-2026-73570). The attack works by injecting malicious shell metacharacters into the 'zimbra-MIB::zmServiceName' argument, which is processed by a Perl-invoked 'swatchdog' script. The rule monitors process execution events for shell commands spawned by the swatchdog utility that contain suspicious shell operators and the targeted MIB parameter.
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Arnold Chan@slaz
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Midnight Slayer
30 days ago
008
Detects awk-based shell command construction on ESX BusyBox that interleaves
an esxcli/vim-cmd command string with invisible Unicode code points (zero-width space,
zero-width non-joiner/joiner, word joiner, Mongolian vowel separator, left/right-to-left
marks, or Plane-16 private-use characters generated via sprintf hex escapes), strips them
with gsub(), and passes the result to system(). CrowdStrike documented this as one of 21
validated ESX obfuscation techniques that leaves only the invisible-character-laden string
in shell logs while the executed command is fully hidden from cleartext review.
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Georg Lauenstein@gsec
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SecOps Signals
20 days ago
000
Detects a system shell/interpreter copied or moved into a writable or non-standard path -
the precursor to the 'copy /bin/bash, set SUID, run bash -p' misconfiguration abuse and a
common staging step in the page-cache PoCs. Enriched with source/destination decode, an
inline-SUID-intent flag (chmod +s / chmod 4755 / install -m / setcap in the same command),
masquerade flags (renamed, hidden dotfile, system-lookalike name), a weighted RiskScore /
TriagePriority and DeviceInfo context. Pairs with OS-DET-LNX-006 and correlation
OS-DET-LNX-007. Detection logic adapted from Elastic Security Labs.
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Nagesh Venkataram@Nagesh
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Detections.ai Community
1 month ago
2013
The following analytic identifies DNS queries from internal hosts to dynamic domain providers. It leverages DNS query logs from the `Network_Resolution` data model and cross-references them with a lookup file containing known dynamic DNS providers. This activity is significant because attackers often use dynamic DNS services to host malicious payloads or command-and-control servers, making it crucial for security teams to monitor. If confirmed malicious, this activity could allow attackers to bypass firewall blocks, evade detection, and maintain persistent access to the network.
Splunk Security@SplunkSecurity
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Splunk Security Content
25 days ago
002
This rule monitors Linux system authentication logs to identify potential unauthorized access attempts. It triggers when a single source IP initiates a high volume of failed SSH login attempts (brute force) or when a single user account is targeted by multiple distinct source IPs within a short time window (password spraying).
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
607
This rule monitors for Linux web-server service accounts (such as www-data or nginx) attempting to elevate privileges by modifying file permissions to set SUID/SGID bits or by executing common system binaries with shell-escape patterns commonly documented in GTFOBins for privilege escalation.
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Ankit Mehta@Secvyn
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Detections.ai Community
30 days ago
307
Detects HTTP POST requests directed at Grav CMS endpoints where the __unique_form_id__ parameter contains directory traversal sequences (e.g., ../). This behavior is indicative of attempted exploitation of CVE-2026-42608, aimed at bypassing file system restrictions to write files to unauthorized locations outside the application's expected form data directory.
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Arnold Chan@slaz
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Hunters
1 month ago
0029
This analytic detects the use of `curl.exe` with insecure flags such as `-k`, `--insecure`, `--proxy-insecure`, or `--doh-insecure`
which disable TLS certificate validation.
It leverages Cisco Network Visibility Module (NVM) flow data and process arguments
to identify outbound connections initiated by curl where TLS checks were explicitly disabled.
This behavior may indicate an attempt to bypass certificate validation to connect to potentially untrusted or malicious endpoints,
a common tactic in red team operations, malware staging, or data exfiltration over HTTPS.
Splunk Security@SplunkSecurity
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Splunk Security Content
24 days ago
301
Detects the first-ever observed network connection from a device to WhatsApp Web or Telegram Web within a 30-day lookback period. This behavior is used to identify potentially unauthorized companion-device linking to a user's messenger account, which could indicate credential theft or unauthorized access.
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Arnold Chan@slaz
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Detection & Hunting Community
27 days ago
003
Detects DNS lookups and outbound network connections to known command and control (C2) and staging domains associated with the STAC4924 campaign. The rule performs strict matching on domain names to ensure that subdomains are identified while avoiding false positives from partial string matches within URLs.
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Arnold Chan@slaz
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Hunters
30 days ago
206
Detects evidence of the SLAPSHOT backdoor on Citrix NetScaler appliances by identifying specific ephemeral IPC files (/tmp/.uxdport and /tmp/.uxdlock) or the associated python-based launcher process that uses base64-encoded arguments to initialize the proxy daemon.
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Georgios Maragos@Gmarak
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Detections.ai Community
1 month ago
307
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