Detections

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

191 detections

Detects Edgecution/SNOW malware suite components across the kill chain via known SHA256 file hashes (phishing HTML, AutoHotkey stager, Edgecution ZIP archive, extension background.js, Python native host backdoor) and combinations of embedded code/path strings associated with SNOWGLAZE/SNOWBASIN; requires multiple distinctive strings together to reduce false positives
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Duo Tech@duotech
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Detections.ai Community
3 months ago
100
Detects creation of Chromium/Edge NativeMessagingHosts registry keys or supporting files (native_host.py, *.api.json) pointing to non-Program Files locations such as AppData, Temp, or ProgramData, consistent with the Edgecution malicious edge extension backdoor's native messaging host persistence mechanism used by UNC6692 to enable extension-to-native-process IPC.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
100
This rule detects the installation of browser extensions that request host permissions for major AI services (Claude, ChatGPT, Gemini, Copilot). It filters out pre-approved extension IDs to highlight potentially unauthorized or malicious extensions that may be used to intercept sensitive user interactions, prompts, or AI-generated data.
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Nagesh Venkataram@Nagesh
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Detections.ai Community
3 months ago
45057
This rule detects file-level activity associated with the known malicious version of the ModHeader browser extension (Extension ID: idgpnmonknjnojddfkpgkljpfnnfcklj). It flags the presence of specific indexedDB LevelDB files and temporary directories that are characteristic of the malicious update, which was used for unauthorized data access and browser-based persistence.
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Tim Peck@timpeck
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Detections.ai Community
4 months ago
15030
Detects file system artifacts indicating installation of the malicious 'ascii-fetcher' VS Code extension (v1.0.0) from the Open VSX marketplace, which bundles the malicious npm dependency '@jaymara/jsononifier' to hide its logic from static analysis.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
007
Detects the presence of file system artifacts associated with the malicious Chromium extension 'Search for perplexity ai' (extension ID: flkebkiofojicogddingbdmcmkpbplcd) on an endpoint. This extension is known to perform search hijacking and keystroke exfiltration.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
3015
Detects browser search traffic being hijacked to the typosquatted domain 'perplexity-ai.online' by the malicious Chromium extension 'Search for perplexity ai'. The rule monitors for network connections to the malicious domain and the presence of extension-related file artifacts on the system. The extension utilizes chrome_settings_overrides to redirect browser Omnibox queries and exfiltrate user search activity to attacker-controlled infrastructure.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
0012
Detects artifacts and network activity associated with a malicious Chromium extension (ID: flkebkiofojicogddingbdmcmkpbplcd) that uses declarativeNetRequest rules to redirect browser search traffic to a typosquatted domain (perplexity-ai.online). The rule correlates file creation, registry modifications, and outbound network connections to the malicious domain from common web browsers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
2010
Detects the presence of malicious Chromium browser extension artifacts related to the 'Search for perplexity ai' extension. This extension abuses Manifest V3 declarativeNetRequest permissions (such as declarativeNetRequestFeedback and declarativeNetRequestWithHostAccess) to intercept and redirect network requests to the attacker-controlled domain 'perplexity-ai.online'. The rule specifically identifies the extension's rule resource files (e.g., perplexity-rules.json) and specific file paths associated with the extension ID.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
4010
This rule detects instances where Microsoft Edge or Google Chrome are launched with the --load-extension command line argument pointing to non-standard or suspicious directories (such as Temp, Downloads, or ProgramData). These locations are often used by malicious extensions to evade detection. The rule also flags instances where these browsers are launched by suspicious parent processes, which may indicate automated installation or control by malicious actors.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
This rule detects the presence of a known malicious Chromium extension (ID: flkebkiofojicogddingbdmcmkpbplcd) that hijacks browser search functionality. The detection monitors for three distinct indicators: the creation of specific extension files within the Chromium directory, network communication with attacker-controlled domains (perplexity-ai.online, extension.tilda.ws), and registry modifications that override default search settings.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
308
Detects Microsoft Edge or Google Chrome spawning suspicious shell processes (cmd.exe, powershell.exe, wscript.exe, cscript.exe, mshta.exe), which is characteristic of the StegoAd browser extension campaign. The rule specifically flags browser processes launching script interpreters with command-line arguments containing obfuscated content (e.g., base64, eval) or references to specific image files (e.g., loading.webp, .woff2) used for steganographic payload delivery.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
008
Detects the presence of file system artifacts associated with a malicious Chrome extension (ID: flkebkiofojicogddingbdmcmkpbplcd) that masquerades as a 'Perplexity AI' search tool. This extension is known to hijack browser search queries by redirecting them through the typosquatted domain 'perplexity-ai.online'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
207
This rule detects potentially malicious activity related to browser extensions, specifically targeting configuration file modifications (manifest.json, rules files) or the use of sensitive browser APIs (declarativeNetRequest, updateDynamicRules) that are commonly abused by malicious extensions. It also flags activity that includes keywords associated with affiliate/ad-click fraud platforms within command line arguments of major browsers like Chrome and Edge.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
117
Detects the presence of the malicious Chromium extension 'Search for perplexity ai' (ID flkebkiofojicogddingbdmcmkpbplcd) on disk. This extension hijacks browser default search settings to redirect queries through the typosquatted domain perplexity-ai[.]online.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
006
Detects the presence of a known malicious Chromium extension (ID: flkebkiofojicogddingbdmcmkpbplcd) that masquerades as a legitimate 'Perplexity AI' extension. This malware hijacks the browser's default search provider to redirect traffic to 'perplexity-ai.online'.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule monitors for file and process events associated with known malicious Chrome extensions. It filters for specific extension IDs embedded within file paths or command-line strings, which typically indicate the installation or activity of malicious browser plugins.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
205
Detects the presence of the malicious Chrome extension with ID 'flkebkiofojicogddingbdmcmkpbplcd' on an endpoint. This extension is known to hijack the browser's default search provider, redirecting queries to an attacker-controlled domain, and includes manifest configurations that may facilitate future WebAssembly-based malicious execution.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
Detects network requests to a typosquatted domain 'perplexity-ai.online' initiated by a malicious browser extension. The extension uses the 'suggest_url' feature to exfiltrate keystrokes typed into the browser omnibox in real-time, effectively performing browser-based keylogging.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects suspicious activity related to browser extension installations by monitoring registry modifications. Specifically, it looks for multiple registry value sets within Chrome or Firefox extension paths within a short timeframe (1 hour), which could indicate an automated or malicious installation of browser extensions.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
603
Detects high-volume, rapid outbound network requests from Opera or Opera GX browser processes, characteristic of CSS attribute-selector trigram enumeration used in XS-Leak attacks to exfiltrate sensitive information from loaded web pages.
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
000
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