Detections

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

38 detections

The following analytic detects HTTP POST requests containing heavily encoded data in the post body, specifically looking for sequences of hex-encoded bytes or base64-encoded strings.
It leverages Zeek HTTP logs to identify POST requests where the body contains eight or more consecutive hex escape sequences or sixteen or more consecutive base64 character groups.
This activity is significant as adversaries commonly use hex or base64 encoding to obfuscate C2 communication, exfiltrate data, or deliver encoded payloads.
Splunk Security@SplunkSecurity
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Splunk Security Content
9 days ago
0022
Detects anomalous POST requests to the RubyGems webhook API endpoint (/api/v1/web_hooks) containing specific indicators ('A000' or 'ZZEND') in the request body, which suggests the misuse of legitimate webhooks for chunked data exfiltration.
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Ankit Mehta@Secvyn
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Detections.ai Community
28 days ago
000
Detects HTTP POST exfiltration patterns characteristic of the RevStealer malware. The rule identifies suspicious POST requests to a /cdn/ URI path with specific internal file naming, utilizing a spoofed Chrome 147 User-Agent and specific header indicators (_fbp, _sid).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects attempts of decoding a base64 Gzip archive in a PowerShell script. This technique is often used as a method to load malicious content into memory afterward.
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SigmaHQ Detections@sigmaHQ
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SigmaHQ
2 months ago
003
Detects HTTP POST tasking check-ins to /version/check.php using the backdoor's hardcoded, obsolete Chrome 78.0.3904.108 user-agent string.
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Duo Tech@duotech
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Detections.ai Community
2 months ago
107
Detects the UNC5142 DeviceManager RAT's DNS-based C2 channel: raw malformed/non-resolver UDP/53 packets and Base64-chunked o-/e-/r- prefixed query names to 91.92.240.100, plus microsoft.com-suffixed decoy queries.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
001
This rule detects the multi-stage execution pattern characteristic of the AMOS stealer on macOS, where a terminal session is used to execute a base64-encoded payload piped into a shell interpreter. The rule specifically monitors for processes like curl, openssl, base64, and zsh being launched from a Terminal or shell parent, often involving specific command-line indicators or malicious URLs associated with the stealer's toolkit.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
4011
CaptiveCrunch ChocoShell disguised C2 URI pattern to known Storm-2945 C2 IP (/t/event, /t/pixel.gif, polyfill payload)
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Duo Tech@duotech
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Detections.ai Community
3 months ago
002
Detects the mrmustard stealer's base64+XOR C2 endpoint deobfuscation routine, keyed on the 'tf_compat_v2' string combined with its decode-call markers.
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Duo Tech@duotech
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Detections.ai Community
3 months ago
003
Detects outbound HTTP POST requests to a /gallery URI endpoint, which is associated with Cavern Manticore C2 beacons. The detection logic inspects the HTTP request body for a specific Base64-encoded pattern following XOR 0x48 encoding, indicating potential command-and-control communication.
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Duo Tech@duotech
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Detections.ai Community
4 months ago
002
Detects HTTP POST requests directed at a specific suspicious endpoint (/service/save.php) on a known malicious host (83.138.53.110), consistent with the exfiltration behavior of the FortiBleed EKZ stealer malware. The rule identifies potential credential theft and exfiltration over standard web protocols.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
104
Detects outbound network connections to known blockchain API endpoints originating from developer scripting runtimes (e.g., node.exe, python.exe). This pattern is consistent with attackers using blockchain transactions as a dead-drop mechanism for retrieving encrypted second-stage payloads, a technique observed in supply chain attacks targeting developers.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
004
This rule detects DNS TXT record responses containing a Base64 encoded payload of at least 60 characters. This pattern is often used by malware for command and control (C2) communication or data exfiltration, leveraging DNS tunneling to evade detection.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects PowerShell commands used to encode data (like hostnames) into hexadecimal strings and exfiltrate it via DNS queries to known Out-of-Band Application Security Testing (OAST) domains. This technique is used by attackers to bypass egress filtering and confirm system compromise, as seen in the exploitation of CVE-2026-1731.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
90106
Detects DNS queries to known OAST (Out-of-Band Application Security Testing) domains like oastify.com, oast.pro, and oast.fun where the subdomain is unusually long (over 50 characters). Long subdomains may indicate encoded data exfiltration, a technique observed in the exploitation of vulnerabilities like CVE-2026-1731 to bypass egress filtering.
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Ethan Andrews@eandrews
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Federal Signal Detections
8 months ago
60102
The analytic detects suspicious PowerShell execution indicative of PowerShell-Empire activity. It leverages PowerShell Script Block Logging (EventCode=4104) to capture and analyze commands sent to PowerShell, specifically looking for patterns involving `system.net.webclient` and base64 encoding. This behavior is significant as it often represents initial stagers used by PowerShell-Empire, a known post-exploitation framework. If confirmed malicious, this activity could allow attackers to download and execute additional payloads, leading to potential code execution, data exfiltration, or further compromise of the affected system.
Splunk Security@SplunkSecurity
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Splunk Security Content
1 year ago
3058
Detects a user accessing multiple websites commonly used for Base64 encoding and decoding within a short time frame. This activity could be a precursor to data exfiltration or an attempt to obfuscate malicious commands.
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Drew Pilarski@barnabysDrew
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Detections.ai Community
1 year ago
6059
This rule detects attempts to phish user credentials by identifying Base64 encoded User Principal Names (UPNs) or their domains within URLs clicked by users. Adversaries often encode sensitive information like UPNs in malicious URLs to bypass security controls or to make the links appear less suspicious. The rule specifically looks for partial Base64 encoded strings of the user's UPN or domain within the 'UrlChain' field of URL click events.
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Damien vd Linden@lindensec
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Detections.ai Community
1 year ago
4153
Well-known DNS Exfiltration tools execution
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0015
Well-known DNS Exfiltration tools execution
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
0012
Detects attempts of decoding a base64 Gzip archive via PowerShell. This technique is often used as a method to load malicious content into memory afterward.
Yamato Security Hayabusa@YamatoSecurityHayabusa
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Yamato Security Hayabusa Rules
1 year ago
009
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