Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
327 detections
Filters
Last updated
All Time
Detection languages
113
82
45
40
17
Contributors
117
114
23
15
12
Categories
104
100
94
71
62
Platforms
39,908
7,245
6,529
3,864
3,627
327
Products / Services
82
71
29
17
12
MITRE Techniques
62
45
43
42
34
CVEs
2
1
IDS Classtypes
54
14
6
3
1
IDS Protocols
48
25
5
3
Detects the creation or modification of APK files in user-accessible download and temporary directories initiated by web browsers or file management applications. This behavior is indicative of potential sideloading of malicious Android applications, often used in malware delivery campaigns.
Detects when the default SMS application on an Android device is changed to an application that is not recognized as a trusted SMS provider. This behavior is often indicative of malicious applications attempting to intercept incoming SMS messages, such as those containing multi-factor authentication (MFA) codes, by positioning themselves as the system's primary handler for SMS communications.
Detects post-exploitation behavior of LANDFALL spyware on Samsung devices. After exploiting CVE-2025-21042, the spyware uses LD_PRELOAD to inject a malicious shared object (.so) from its working directory (`/data/data/com.samsung.ipservice/files/`) into the benign `/system/bin/id` process, often via a shell wrapper.
This rule detects potentially malicious Android applications masquerading as security updates that request 'Device Administrator' permissions. Such apps often attempt to gain elevated privileges to maintain persistence, prevent uninstallation, or perform unauthorized administrative actions on the device.
This rule detects an unusual pattern of multiple login attempts from several unique devices using Windows Hello for Business within a short timeframe (5 minutes) for a single user. This could indicate an MFA bypass attempt or a compromised account where an adversary is attempting to gain access from various devices.
This rule detects an unusual pattern of multiple login attempts from several unique devices using Windows Hello for Business within a short timeframe (5 minutes) for a single user. This could indicate an MFA bypass attempt or a compromised account where an adversary is attempting to gain access from various devices.
Detects network requests associated with FallSpy, an Android spyware utilized by the Russia-nexus threat group GREYVIBE. FallSpy is deployed via fake persona lures and spoofed applications to harvest critical intelligence. While the original YARA rule targets file-based artifacts (e.g., class names like DataCollectorWork), this Sigma rule adapts the logic to focus on the highly reliable exfiltration URL parameters observable in proxy and web gateway logs.
Detects potential SMS phishing (smishing) vectors involving a specific shortened URL used to deliver mobile surveillance and exfiltration malware, specifically the fake RedAlert application.
Detects network connections to Hugging Face to download a large Large Language Model (LLM) module, a technique used by the SURXRAT Android RAT to induce network lag and degrade device performance.
Keenadu Backdoor
YARA
Matches published Keenadu-related MD5 hashes from the report.
This rule detects attempts to download Android Application Package (APK) files directly to an endpoint. This activity is often associated with 'quishing' (QR code phishing) attacks, where users are tricked into scanning a malicious QR code that leads to a direct APK download, bypassing official app store security checks. The rule specifically looks for network connection success events where the remote URL or additional fields contain '.apk'.
This query detects network traffic patterns associated with the DKnife Adversary-in-the-Middle (AitM) framework. Specifically, it looks for triggers used by the DarkNimbus backdoor to request C2 information from a compromised gateway. This includes HTTP requests to a specific Baidu URL used by the Android variant and UDP traffic to port 8005 used by the Windows variant.
Detects SecDelivery.apk - Kimsuky DOCSWAP variant
Detects behavioral patterns
Detects P2B Airdrop variant
Detects native decryption library
Detects Auction delivery app variant
Detects VPN masquerading variant
This rule detects WebSocket C2 authentication attempts by the Frogblight mobile banking malware. It specifically looks for the hardcoded login key '{"login_key":"fg_a1b2c3d4e5f6"}' within TCP traffic destined for external networks.
This rule detects the download of Android Application Package (APK) files from Amazon S3 buckets, where the HTTP URI contains keywords related to gambling (slot, bet, play, jackpot). This activity is indicative of potential malware distribution, specifically targeting Android devices with gambling-themed applications, as observed in Indonesian gambling ecosystems.
Detects network connections from Samsung Android devices that match the Command and Control (C2) patterns of the LANDFALL spyware. The rule identifies high-fidelity connections to known LANDFALL C2 IPs and domains, as well as lower-fidelity behavioral patterns, such as connections over HTTPS to non-standard ports.
Page 14 of 16