Ankit Mehta
@SecvynIndiaTrusted contributorCompletionist
7 followers9,573 downloads10,246 copies160 likes55,587 views
8,655 detections
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Detects when AI agent processes establish listening connections on network ports, indicating potential unauthorized service exposure or lateral movement activity.
This rule detects network connections to FTP servers (port 21) where the remote URL contains keywords associated with NetWare or Novell, along with suspicious whitespace patterns. This could indicate an attempt to exploit a known vulnerability related to whitespace handling in NetWare FTP servers, potentially the 'Squidbleed' vulnerability.
Detects attempts to exploit the Squidbleed vulnerability (C11 strchr() Null Terminator Behavior Exploitation) by monitoring 'squid.exe' process command lines for the presence of null terminator characters or their string representations. This indicates an attempt to manipulate string handling functions.
Detects potential exploitation attempts related to the Squidbleed vulnerability by monitoring 'squid.exe' or processes with 'squid' in their command line for AddressSanitizer related keywords indicating memory safety issues like overflow, underflow, or use-after-free.
This rule detects the creation of mutexes by processes that contain specific keywords in their command line, indicative of the Remcos RAT loader. The keywords include 'Remcos', 'optimize', 'system', 'update', and 'task', combined with mutex creation patterns like 'CreateMutex', 'Global\', or 'Local\'. This behavior is often associated with malware establishing persistence or coordinating its activities.
This rule detects anomalous access to cloud services, specifically Salesforce, Drift, Salesloft, HubSpot, and Marketo, that may indicate OAuth token abuse. It identifies scenarios where a high volume of actions (8 or more) occur within a short timeframe (3 hours or less) from a single IP address but with multiple unique user agents (2 or more). The detection is further refined by looking for actions related to 'Add delegated permission grant' or 'Create service principal', which are indicative of an attacker attempting to establish persistence or escalate privileges after gaining access through a compromised OAuth token.
This rule detects suspicious activity indicative of post-quantum ransomware, combining two main indicators: the execution of processes with command-line arguments related to post-quantum cryptographic algorithms (Kyber, ML-KEM, NTRU, Dilithium, Falcon, SPHINCS) and the creation of common ransomware notes (README.txt, DECRYPT.txt, RESTORE.txt, PAYMENT.txt, RANSOM.txt). The cryptographic operation detection specifically looks for high or system integrity processes and excludes common legitimate cryptographic tools. The rule correlates multiple cryptographic operations within a short timeframe and the creation of ransom notes to identify potential ransomware deployment.
This rule detects potential prompt injection attempts targeting AI systems by looking for specific keywords related to AI models (gpt, claude, copilot) in HTTP logs, combined with suspicious characters or commands commonly used in injection attacks (e.g., <script>, javascript:, eval(). The rule triggers if 5 or more such attempts are observed from a single IP within an hour.
This rule detects the creation or manipulation of mutexes by processes that contain keywords associated with the Remcos RAT (Remote Access Trojan). Specifically, it looks for command-line arguments containing "Remcos_Mutex_Inj", "Remcos_Mutex", "mutex", or "CreateMutex". This activity can indicate the presence or execution of Remcos RAT on a system, as mutexes are often used by malware for single-instance enforcement or inter-process communication.
This rule detects network traffic containing keywords commonly associated with Indian payment gateways and financial transactions (NEFT, RTGS, IMPS, GST, PAN, IFSC). This could indicate data exfiltration or suspicious activity involving financial information, potentially related to malware like Remcos RAT.
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